Triple

T2126235
Position Surface form Disambiguated ID Type / Status
Subject University Grants Commission E46430 entity
Predicate abbreviation P43 FINISHED
Object UGC E55514 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: UGC | Statement: [University Grants Commission, abbreviation, UGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UGC
Context triple: [University Grants Commission, abbreviation, UGC]
  • A. UGC chosen
    UGC (University Grants Commission) is a statutory body of the Indian government responsible for coordinating, determining, and maintaining standards of higher education in India.
  • B. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • C. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • D. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • E. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb59182081908470f9be97e272c8 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51a0e8ac8190992588bf2bf496ab completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.