Triple

T18443352
Position Surface form Disambiguated ID Type / Status
Subject UGC 11755 E450590 entity
Predicate catalog P20407 FINISHED
Object UGC 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: UGC | Statement: [UGC 11755, catalog, UGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UGC
Context triple: [UGC 11755, catalog, UGC]
  • A. UGC
    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 chosen
    UGC is an astronomical catalog of galaxies widely used to identify and classify extragalactic objects such as the Leo II Dwarf Galaxy.
  • C. UGC
    UGC is the national higher education regulatory and funding body of Bangladesh responsible for overseeing universities and maintaining academic standards.
  • D. UGC
    UGC is the statutory body in Hong Kong responsible for advising the government on the funding and strategic development of publicly funded universities.
  • E. UGC
    UGC is a major French film production and distribution company, also known for operating a large chain of cinemas in France and other European countries.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c12a0248190a848a1fe833a1975 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.