Triple

T5337489
Position Surface form Disambiguated ID Type / Status
Subject Texas Senate District 2 E123860 entity
Predicate borderedBy P224 FINISHED
Object Hunt County E408957 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: Hunt County | Statement: [Texas Senate District 2, borderedBy, Hunt County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunt County
Context triple: [Texas Senate District 2, borderedBy, Hunt County]
  • A. Hunt County chosen
    Hunt County is a county in northeastern Texas that includes both rural communities and the city of Greenville as its county seat.
  • B. Gray County
    Gray County is a rural county in the Texas Panhandle best known for its oil industry and county seat, Pampa.
  • C. Nolan County
    Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
  • D. 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.
  • E. Reeves County
    Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85c6ec008190ad7a8a54360387d8 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870539eb08190936adcfbab395654 completed March 29, 2026, 12:20 a.m.
Created at: March 20, 2026, 2 p.m.