Triple

T15252996
Position Surface form Disambiguated ID Type / Status
Subject Ellis County, Oklahoma E364565 entity
Predicate countySeat P383 FINISHED
Object Arnett, Oklahoma 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: Arnett, Oklahoma | Statement: [Ellis County, Oklahoma, countySeat, Arnett, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnett, Oklahoma
Context triple: [Ellis County, Oklahoma, countySeat, Arnett, Oklahoma]
  • A. Arnett, Oklahoma chosen
    Arnett, Oklahoma is a small town in western Oklahoma that serves as the administrative and commercial hub of rural Ellis County.
  • B. Arkoma, Oklahoma
    Arkoma, Oklahoma is a small town in Le Flore County that functions as a residential community adjacent to Fort Smith, Arkansas, within the Fort Smith metropolitan area.
  • C. Knowles, Oklahoma
    Knowles, Oklahoma is a small rural town located in the Oklahoma Panhandle region of the United States.
  • D. Hinton, Oklahoma
    Hinton, Oklahoma is a small town in Caddo County known for its proximity to Red Rock Canyon Adventure Park and its location along major regional highways.
  • E. Blanchard, Oklahoma
    Blanchard, Oklahoma is a small city in central Oklahoma that serves as a bedroom community within the Oklahoma City metropolitan area.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f728648190b2c86e4528542b65 completed April 15, 2026, 9:49 p.m.
Created at: April 10, 2026, 3:13 a.m.