Triple

T12850695
Position Surface form Disambiguated ID Type / Status
Subject University of Cincinnati E307308 entity
Predicate abbreviation P43 FINISHED
Object UC E307308 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: UC | Statement: [University of Cincinnati, abbreviation, UC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UC
Context triple: [University of Cincinnati, abbreviation, UC]
  • A. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • B. 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.
  • C. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • 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 chosen
    UC is a public research university in Cincinnati, Ohio, known for its comprehensive academic programs and co-operative education opportunities.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97020eacc81909357b3398d17dc49 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba5059c81908be3b8b371518f41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.