Triple

T10350610
Position Surface form Disambiguated ID Type / Status
Subject UCT E243869 entity
Predicate shortName P43 FINISHED
Object UCT E243869 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: UCT | Statement: [UCT, shortName, UCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCT
Context triple: [UCT, shortName, UCT]
  • A. UCT chosen
    UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
  • B. Uni
    Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
  • C. Uni
    Uni is the commonly used nickname for University High School in Los Angeles, a public high school known for its diverse student body and long history on the Westside.
  • D. UC
    UC is a public research university in Cincinnati, Ohio, known for its comprehensive academic programs and co-operative education opportunities.
  • E. UC
    UC is the commonly used abbreviation for University College, one of the constituent colleges of the University of Toronto.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e94796d881909e0b908de63a1aa3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75095625c819082d4d0976a193e6c completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:57 a.m.