Triple

T6914577
Position Surface form Disambiguated ID Type / Status
Subject Union County, South Dakota E160016 entity
Predicate hasFormerName P65 FINISHED
Object Cole County E160016 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: Cole County | Statement: [Union County, South Dakota, hasFormerName, Cole County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cole County
Context triple: [Union County, South Dakota, hasFormerName, Cole County]
  • A. Cole County chosen
    Cole County was the former name of what is now Union County in the southeastern part of South Dakota.
  • B. Butler County
    Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
  • C. Butler County
    Butler County is a rural county in south-central Alabama known for its pine forests, small towns, and location along the Interstate 65 corridor.
  • D. Butler County
    Butler County is a county in southwestern Ohio that includes communities such as Millville and is part of the Greater Cincinnati metropolitan area.
  • E. Butler County
    Butler County is a county in south-central Kansas, known for its mix of prairie landscapes, agriculture, and small communities within the Flint Hills 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9dda4108190a79a7841b0658a4d completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7882712548190a0c7e5660c61625d completed March 28, 2026, 7:49 a.m.
Created at: March 27, 2026, 2:26 p.m.