Triple

T22759546
Position Surface form Disambiguated ID Type / Status
Subject Last Chance Store E562945 entity
Predicate city P40 FINISHED
Object Council Grove NE NERFINISHED

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: Council Grove | Statement: [Last Chance Store, city, Council Grove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Council Grove
Context triple: [Last Chance Store, city, Council Grove]
  • A. Council Grove, Kansas chosen
    Council Grove, Kansas is a historic town in central Kansas known for its key role as a major stopping point and supply station along the 19th-century Santa Fe Trail.
  • B. Sugar Grove, Ohio
    Sugar Grove, Ohio is a small village in Fairfield County known for its rural character and proximity to the scenic Hocking Hills region.
  • C. Blooming Grove, Ohio
    Blooming Grove, Ohio is a small unincorporated community in Morrow County best known as the birthplace of U.S. President Warren G. Harding.
  • D. Piqua, Ohio
    Piqua, Ohio is a small city in western Ohio known for its historic downtown, manufacturing heritage, and location along the Great Miami River.
  • E. Hoffman’s Grove
    Hoffman’s Grove was the original picnic and recreation area that later developed into Waldameer Park & Water World in Erie, Pennsylvania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7b4fe88190b1da25b78f046d13 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:25 p.m.