Triple

T10369416
Position Surface form Disambiguated ID Type / Status
Subject Upshur County, Texas E244337 entity
Predicate largestCity P235 FINISHED
Object Gilmer, Texas E548862 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: Gilmer, Texas | Statement: [Upshur County, Texas, largestCity, Gilmer, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilmer, Texas
Context triple: [Upshur County, Texas, largestCity, Gilmer, Texas]
  • A. Gilmer, Texas chosen
    Gilmer, Texas is a small East Texas city in Upshur County known for its rural character and annual East Texas Yamboree festival.
  • B. Wilmer, Texas
    Wilmer, Texas is a small city in Dallas County that forms part of the southern Dallas–Fort Worth metropolitan area.
  • C. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • D. Gainesville, Texas
    Gainesville, Texas is a small North Texas city near the Oklahoma border known as the county seat of Cooke County and a regional hub within the Texoma area.
  • E. Mission, Texas
    Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9725fa08190816bedf0acefbc2a completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d95e4aef148190be58486605f85f77 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:01 p.m.