Triple

T7737183
Position Surface form Disambiguated ID Type / Status
Subject Terrell Municipal Airport E175412 entity
Predicate county P75 FINISHED
Object Kaufman County E22359 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: Kaufman County | Statement: [Terrell Municipal Airport, county, Kaufman County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaufman County
Context triple: [Terrell Municipal Airport, county, Kaufman County]
  • A. Hunt County
    Hunt County is a county in northeastern Texas that includes both rural communities and the city of Greenville as its county seat.
  • B. Gillespie County
    Gillespie County is a central Texas county known for its scenic Hill Country landscapes, German heritage, and the historic town of Fredericksburg.
  • C. Kaufman County, Texas chosen
    Kaufman County, Texas is a county in northeastern Texas that forms part of the Dallas–Fort Worth metropolitan area and includes the city of Terrell as one of its principal communities.
  • D. McLennan County
    McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
  • E. Dallam County
    Dallam County is a sparsely populated rural county in the far northwestern corner of the Texas Panhandle, known for its agricultural economy and wide-open High Plains landscape.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035a97688190bf93efeee2e365ec completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cabbb088190bada143db831c466 completed April 4, 2026, 3:22 p.m.
Created at: March 27, 2026, 4:07 p.m.