Triple

T18273732
Position Surface form Disambiguated ID Type / Status
Subject UES E437678 entity
Predicate shortName P43 FINISHED
Object UES 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: UES | Statement: [UES, shortName, UES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UES
Context triple: [UES, shortName, UES]
  • A. UES chosen
    UES is the main public university in El Salvador, recognized for its broad range of academic programs and significant role in the country’s higher education system.
  • B. UE
    UE is a progressive, independent labor union in the United States representing workers in manufacturing, public, and service sectors.
  • C. UA
    UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
  • D. UA
    UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • E. UA
    UA is the stock ticker symbol for Under Armour, Inc., an American sportswear and athletic apparel company.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5005006108190bbddddbe6bbdc911 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.