Triple

T20280692
Position Surface form Disambiguated ID Type / Status
Subject Uvalde County E503132 entity
Predicate largestCity P235 FINISHED
Object Uvalde NE NERFINISHED

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 | Statement: [Uvalde County, largestCity, Uvalde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uvalde
Context triple: [Uvalde County, largestCity, Uvalde]
  • A. Uvalde, Texas chosen
    Uvalde, Texas is a small city in South Texas known historically as a ranching and agricultural center and as the longtime home of U.S. Vice President John Nance Garner.
  • B. Joaquin, Texas
    Joaquin, Texas is a small rural town in East Texas near the Louisiana border, known for its close-knit community and timber and agricultural surroundings.
  • C. Waco, Texas
    Waco, Texas is a central Texas city known for being home to Baylor University and its prominent collegiate athletic programs.
  • D. Bulverde
    Bulverde is a small city in the Texas Hill Country known for its semi-rural character and proximity to San Antonio.
  • E. Edinburg
    Edinburg is a small rural town in Saratoga County, New York, known for its scenic setting near the Great Sacandaga Lake and the southern Adirondacks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6768e9f0881909c8fe8772dafd468 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:38 a.m.