Triple

T14176778
Position Surface form Disambiguated ID Type / Status
Subject Northern Oklahoma E351351 entity
Predicate contains P35 FINISHED
Object Alva, Oklahoma E774072 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: Alva, Oklahoma | Statement: [Northern Oklahoma, contains, Alva, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alva, Oklahoma
Context triple: [Northern Oklahoma, contains, Alva, Oklahoma]
  • A. Alva, Oklahoma chosen
    Alva, Oklahoma is a small city in northwestern Oklahoma that serves as the county seat of Woods County and a regional hub for agriculture and education.
  • B. Alderson, Oklahoma
    Alderson, Oklahoma is a small town located in Pittsburg County in the southeastern part of the state.
  • C. Woodall, Oklahoma
    Woodall, Oklahoma is a small unincorporated community located in Cherokee County in the eastern part of the state.
  • D. Blanchard, Oklahoma
    Blanchard, Oklahoma is a small city in central Oklahoma that serves as a bedroom community within the Oklahoma City metropolitan area.
  • E. Ketchum, Oklahoma
    Ketchum, Oklahoma is a small town in northeastern Oklahoma known for its proximity to Grand Lake O’ the Cherokees and its rural community character.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c76e8081909994b95b631100e9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179824c88190aeef28a08eb1a0c9 completed May 10, 2026, 5:28 a.m.
Created at: April 10, 2026, 1:02 a.m.