Triple

T4309841
Position Surface form Disambiguated ID Type / Status
Subject Dr. Bhimrao Ambedkar University E94043 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: [Dr. Bhimrao Ambedkar University, affiliation, UGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UGC
Context triple: [Dr. Bhimrao Ambedkar University, 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. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • C. 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.
  • D. 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.
  • E. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d55d748190a57fabcf58782dba completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c759b65081909b02db56febbc484 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:11 p.m.