Triple

T7709720
Position Surface form Disambiguated ID Type / Status
Subject Grayson County Airport E174716 entity
Predicate operator P179 FINISHED
Object Grayson County E23602 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: Grayson County | Statement: [Grayson County Airport, operator, Grayson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grayson County
Context triple: [Grayson County Airport, operator, Grayson County]
  • A. Chambers County
    Chambers County is a county located in the eastern part of the U.S. state of Alabama, known for its rural communities and proximity to the Georgia state line.
  • B. Kingfisher County
    Kingfisher County is a rural county in central Oklahoma known for its agricultural economy and small-town communities.
  • C. Wise County
    Wise County is a county in north-central Texas that is part of the Dallas–Fort Worth metropolitan area and known for its mix of rural communities, ranching, and growing exurban development.
  • D. Grayson County, Texas chosen
    Grayson County, Texas is a county in north Texas along the Oklahoma border, known for its county seat Sherman, the city of Denison, and its location near Lake Texoma.
  • E. Smith County
    Smith County is a county in eastern Texas that includes the city of Tyler and serves as a regional hub for healthcare, education, and commerce.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ac0060819084f9c0242a5ffa9a completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9061d1be0819094109703ec4a99f7 completed March 29, 2026, 10:59 a.m.
Created at: March 27, 2026, 4:04 p.m.