Triple
T10170649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sioux Falls metropolitan area |
E235321
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object |
McCook County
McCook County is a rural county in southeastern South Dakota that forms part of the greater Sioux Falls metropolitan region.
|
E856663
|
NE FINISHED |
How this triple was built (4 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: McCook County | Statement: [Sioux Falls metropolitan area, containsCounty, McCook County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCook County Context triple: [Sioux Falls metropolitan area, containsCounty, McCook County]
-
A.
Taney County
Taney County is a county in southwestern Missouri known for encompassing the popular tourist destination city of Branson.
-
B.
Rock Island County
Rock Island County is a county in northwestern Illinois along the Mississippi River, known for encompassing cities such as Moline and Rock Island.
-
C.
Ogle County
Ogle County is a predominantly rural county in northern Illinois known for its agricultural landscape and small communities.
-
D.
Cedar County
Cedar County is a county in eastern Iowa known for its agricultural landscape and small rural communities, including the town of Clarence.
-
E.
Cedar County
Cedar County is a county in southwestern Missouri known for its rural communities, agricultural landscape, and small-town character.
- 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: McCook County Triple: [Sioux Falls metropolitan area, containsCounty, McCook County]
Generated description
McCook County is a rural county in southeastern South Dakota that forms part of the greater Sioux Falls metropolitan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: McCook County Target entity description: McCook County is a rural county in southeastern South Dakota that forms part of the greater Sioux Falls metropolitan region.
-
A.
Taney County
Taney County is a county in southwestern Missouri known for encompassing the popular tourist destination city of Branson.
-
B.
Rock Island County
Rock Island County is a county in northwestern Illinois along the Mississippi River, known for encompassing cities such as Moline and Rock Island.
-
C.
Ogle County
Ogle County is a predominantly rural county in northern Illinois known for its agricultural landscape and small communities.
-
D.
Cedar County
Cedar County is a county in eastern Iowa known for its agricultural landscape and small rural communities, including the town of Clarence.
-
E.
Cedar County
Cedar County is a county in southwestern Missouri known for its rural communities, agricultural landscape, and small-town character.
- F. None of above. chosen
Provenance (5 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9d36608190be78665cc3410cf2 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fce236481909387829c7cf311a4 |
completed | April 9, 2026, 7:05 a.m. |
| NEDg | Description generation | batch_69d751122d208190abaa4fd72a07643b |
completed | April 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d751d4aa908190a825322ebf0066af |
completed | April 9, 2026, 7:14 a.m. |
Created at: March 30, 2026, 9:10 p.m.