Triple

T14983685
Position Surface form Disambiguated ID Type / Status
Subject Creve Coeur, Illinois E373645 entity
Predicate subdivisionName P747 FINISHED
Object Tazewell County E1129597 NE FINISHED

How this triple was built (2 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: Tazewell County | Statement: [Creve Coeur, Illinois, subdivisionName, Tazewell County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tazewell County
Context triple: [Creve Coeur, Illinois, subdivisionName, Tazewell County]
  • A. Tazewell County chosen
    Tazewell County is a county in central Illinois known for its mix of small towns, agricultural areas, and proximity to the Peoria metropolitan region.
  • B. Tazewell County, Virginia
    Tazewell County, Virginia is a mountainous county in southwestern Virginia known for its coal mining heritage and location in the Appalachian region.
  • C. Kelan County
    Kelan County is a county in Xinzhou, Shanxi Province, China, known for its proximity to the Taiyuan Satellite Launch Center, one of the country’s major space launch facilities.
  • D. McDowell County
    McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
  • E. Williamsburg County
    Williamsburg County is a rural county in eastern South Carolina known for its agricultural landscape, small towns, and historical ties to the Lowcountry region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6ff4a7c8190ab7554f3a1a09b67 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9694aa688190bbecb645c49e795e completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:52 a.m.