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.