Triple
T3571552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeastern Wisconsin |
E75581
|
entity |
| Predicate | majorMetropolitanArea |
P12871
|
FINISHED |
| Object |
Green Bay metropolitan area
The Green Bay metropolitan area is an urban and economic hub in northeastern Wisconsin centered around the city of Green Bay, known for its manufacturing, shipping, and strong sports culture.
|
E372781
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Green Bay metropolitan area | Statement: [Northeastern Wisconsin, majorMetropolitanArea, Green Bay metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Bay metropolitan area Context triple: [Northeastern Wisconsin, majorMetropolitanArea, Green Bay metropolitan area]
-
A.
Madison metropolitan area
The Madison metropolitan area is a regional urban and economic hub in south-central Wisconsin centered on the city of Madison, known for its state government, major university, and growing technology and service sectors.
-
B.
Green Bay, Wisconsin
Green Bay, Wisconsin is a city in northeastern Wisconsin best known as the home of the NFL’s Green Bay Packers and one of the oldest continuously operating professional football franchises in the United States.
-
C.
Milwaukee–Racine–Waukesha combined statistical area
The Milwaukee–Racine–Waukesha combined statistical area is a U.S. Census–defined multi-county metropolitan region in southeastern Wisconsin centered on the cities of Milwaukee, Racine, and Waukesha.
-
D.
Milwaukee
Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
-
E.
Fond du Lac, Wisconsin
Fond du Lac, Wisconsin is a small city in east-central Wisconsin known as a regional commercial center at the southern tip of Lake Winnebago.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Green Bay metropolitan area Triple: [Northeastern Wisconsin, majorMetropolitanArea, Green Bay metropolitan area]
Generated description
The Green Bay metropolitan area is an urban and economic hub in northeastern Wisconsin centered around the city of Green Bay, known for its manufacturing, shipping, and strong sports culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Green Bay metropolitan area Target entity description: The Green Bay metropolitan area is an urban and economic hub in northeastern Wisconsin centered around the city of Green Bay, known for its manufacturing, shipping, and strong sports culture.
-
A.
Madison metropolitan area
The Madison metropolitan area is a regional urban and economic hub in south-central Wisconsin centered on the city of Madison, known for its state government, major university, and growing technology and service sectors.
-
B.
Green Bay, Wisconsin
Green Bay, Wisconsin is a city in northeastern Wisconsin best known as the home of the NFL’s Green Bay Packers and one of the oldest continuously operating professional football franchises in the United States.
-
C.
Milwaukee–Racine–Waukesha combined statistical area
The Milwaukee–Racine–Waukesha combined statistical area is a U.S. Census–defined multi-county metropolitan region in southeastern Wisconsin centered on the cities of Milwaukee, Racine, and Waukesha.
-
D.
Milwaukee
Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
-
E.
Fond du Lac, Wisconsin
Fond du Lac, Wisconsin is a small city in east-central Wisconsin known as a regional commercial center at the southern tip of Lake Winnebago.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorMetropolitanArea Context triple: [Northeastern Wisconsin, majorMetropolitanArea, Green Bay metropolitan area]
-
A.
largestMetropolitanArea
Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
-
B.
macroArea
Indicates a broad geographic or regional grouping within which an entity (such as a language or location) is situated.
-
C.
metropolitanAreaWith
Indicates that one entity is a metropolitan area that includes, is associated with, or encompasses the other entity.
-
D.
majorPopulationCenter
chosen
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
E.
metropolitanAreaType
Indicates the classification of a metropolitan area according to its type or category (e.g., size, function, or administrative status).
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c32624819097a96b3d62e3d8f0 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43301c2d8819089ee18732c1df29d |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b434ffe8288190b367ac19d05279aa |
completed | March 13, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b435556710819084f0e171b00a4f15 |
completed | March 13, 2026, 4:03 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.