Triple

T12505761
Position Surface form Disambiguated ID Type / Status
Subject Spiro, Oklahoma E298942 entity
Predicate hasNearbyCity P350 FINISHED
Object Wister, Oklahoma E1054137 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: Wister, Oklahoma | Statement: [Spiro, Oklahoma, hasNearbyCity, Wister, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wister, Oklahoma
Context triple: [Spiro, Oklahoma, hasNearbyCity, Wister, Oklahoma]
  • A. Wister, Oklahoma chosen
    Wister, Oklahoma is a small town in southeastern Oklahoma known for its proximity to Wister Lake State Park and its location within Le Flore County.
  • B. Wilson, Oklahoma
    Wilson, Oklahoma is a small rural city in southern Oklahoma known for its tight-knit community and location within Carter County.
  • C. Willis, Oklahoma
    Willis, Oklahoma is a small unincorporated community located in Marshall County in southern Oklahoma.
  • D. Watonga, Oklahoma
    Watonga, Oklahoma is a small city in Blaine County known for its agricultural economy and annual cheese festival.
  • E. Wewoka, Oklahoma
    Wewoka, Oklahoma is a small city in central Oklahoma that serves as the historic headquarters and cultural center of the Seminole Nation.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfddf38819099263b8b1e804736 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd082fe64819088a270f18190b172 completed May 7, 2026, 5:48 p.m.
Created at: April 8, 2026, 9:57 p.m.