Triple

T15024217
Position Surface form Disambiguated ID Type / Status
Subject Sabinal, Texas E378165 entity
Predicate county P75 FINISHED
Object Uvalde County E503132 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: Uvalde County | Statement: [Sabinal, Texas, county, Uvalde County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uvalde County
Context triple: [Sabinal, Texas, county, Uvalde County]
  • A. Uvalde County chosen
    Uvalde County is a largely rural county in south-central Texas known for its ranching, hunting, and proximity to the Texas Hill Country and Edwards Plateau regions.
  • B. Atascosa County
    Atascosa County is a largely rural county in southern Texas known for its agricultural economy and proximity to the San Antonio metropolitan area.
  • C. Bandera County
    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.”
  • D. Nolan County
    Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
  • E. Lamb County
    Lamb County is a rural county in northwestern Texas known for its agriculture-based economy and small communities on the High Plains.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7de117c8190a1b9fa8d1602057e completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf2567c81909ab6054ade27afac completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 2:56 a.m.