Triple

T5941677
Position Surface form Disambiguated ID Type / Status
Subject University of Lucknow E132179 entity
Predicate affiliation P10 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 of Lucknow, affiliation, UGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UGC
Context triple: [University of Lucknow, affiliation, 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. UGC
    UGC is an astronomical catalog of galaxies widely used to identify and classify extragalactic objects such as the Leo II Dwarf Galaxy.
  • C. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • D. UC
    UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
  • E. 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.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039346a7c81908d94081b666e1d79 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c079dfe4819097598ec1f564e810 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.