Triple

T12953999
Position Surface form Disambiguated ID Type / Status
Subject University of Texas Health Science Center at San Antonio E309963 entity
Predicate city P40 FINISHED
Object San Antonio E16478 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: San Antonio | Statement: [University of Texas Health Science Center at San Antonio, city, San Antonio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Antonio
Context triple: [University of Texas Health Science Center at San Antonio, city, San Antonio]
  • A. San Antonio
    San Antonio was one of the ships in Ferdinand Magellan’s expedition fleet that participated in the first circumnavigation attempt of the globe.
  • B. San Antonio
    San Antonio is a barangay in the municipality of Los Baños in the province of Laguna, Philippines.
  • C. San Antonio
    San Antonio is a coastal municipality in the Philippine province of Zambales known for its beaches, coves, and nearby island-hopping destinations.
  • D. San Antonio chosen
    San Antonio is a large, historic city in south-central Texas known for the Alamo, the River Walk, and its rich blend of Mexican and Texan culture.
  • E. San Antonio
    San Antonio is a major Chilean port city known for its significant role in the country’s maritime trade and fishing industries.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2b0108819098a681f93e90dbda completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c0510081909459662cb91a82b4 completed May 3, 2026, 2:53 a.m.
Created at: April 9, 2026, 5:44 p.m.