Triple

T13462833
Position Surface form Disambiguated ID Type / Status
Subject Uvalde Municipal Airport E311414 entity
Predicate serves P98 FINISHED
Object Uvalde, Texas E19990 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, Texas | Statement: [Uvalde Municipal Airport, serves, Uvalde, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uvalde, Texas
Context triple: [Uvalde Municipal Airport, serves, Uvalde, Texas]
  • 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. Waco, Texas
    Waco, Texas is a central Texas city known for being home to Baylor University and its prominent collegiate athletic programs.
  • C. Highland Park, Texas
    Highland Park, Texas is an affluent, predominantly residential town in central Dallas County known for its upscale homes, top-rated schools, and inclusion in the Park Cities community.
  • D. Del Rio, Texas
    Del Rio, Texas is a border city in southwest Texas along the Rio Grande, known as a regional hub for trade, law enforcement, and federal government activity.
  • E. Parkland
    Parkland is a small rural community located within the Municipal District of Willow Creek No. 26 in southern Alberta, Canada.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0d95fc81909d9f73d5315dc7b4 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547d4f20819096765e125396e471 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:41 p.m.