Triple

T4234103
Position Surface form Disambiguated ID Type / Status
Subject South-Central Texas E94650 entity
Predicate containsCounty P5971 FINISHED
Object Bandera County E296777 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: Bandera County | Statement: [South-Central Texas, containsCounty, Bandera County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandera County
Context triple: [South-Central Texas, containsCounty, Bandera County]
  • A. Bandera County chosen
    Bandera County is a rural county in south-central Texas known for its scenic Hill Country landscapes and its reputation as the “Cowboy Capital of the World.”
  • B. Nolan County
    Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
  • C. Garza County
    Garza County is a rural county in northwestern Texas known for its ranching, agriculture, and location on the edge of the Llano Estacado.
  • D. Scurry County
    Scurry County is a county in western Texas known for its oil production, agriculture, and county seat of Snyder.
  • E. Comanche County
    Comanche County is a county in southwestern Oklahoma, United States, known for encompassing the city of Lawton and parts of the Fort Sill military installation.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e6705548190b695b3789d713b4a completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69becf8f926481908f6e1cf33fc79a04 completed March 21, 2026, 5:04 p.m.
Created at: March 12, 2026, 11:05 p.m.