Triple

T17375403
Position Surface form Disambiguated ID Type / Status
Subject Cibolo E422422 entity
Predicate adjacentTo P224 FINISHED
Object Universal City, Texas 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: Universal City, Texas | Statement: [Cibolo, adjacentTo, Universal City, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universal City, Texas
Context triple: [Cibolo, adjacentTo, Universal City, Texas]
  • A. Universal City, Texas chosen
    Universal City, Texas is a suburban community in the San Antonio metropolitan area known for its close association with the nearby Randolph Air Force Base.
  • B. Beverly Hills, Texas
    Beverly Hills, Texas is a small incorporated city in central Texas that functions as a suburb of Waco within the Waco metropolitan area.
  • C. Sugar Land, Texas
    Sugar Land, Texas is a rapidly growing, affluent suburban city in the Houston metropolitan area known for its master-planned communities and strong local economy.
  • D. Liberty City, Texas
    Liberty City, Texas is a small unincorporated community in Gregg County that forms part of the Longview metropolitan area in East Texas.
  • E. Justin, Texas
    Justin, Texas is a small city in Denton County within the Dallas–Fort Worth metropolitan area, known for its rural character and proximity to major urban centers.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6c864481908507290282cc6d25 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.