Triple

T12608719
Position Surface form Disambiguated ID Type / Status
Subject UJ Library E301054 entity
Predicate name P16 FINISHED
Object UJ Library E301054 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: UJ Library | Statement: [UJ Library, name, UJ Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UJ Library
Context triple: [UJ Library, name, UJ Library]
  • A. UJ Library chosen
    UJ Library is the academic library system of the University of Johannesburg, providing information resources, study spaces, and research support to its students and staff.
  • B. UG Library
    UG Library is the academic library system of the University of Groningen, providing access to scholarly resources, study spaces, and research support for students and staff.
  • C. UST Library
    UST Library is the main academic library of the University of Santo Tomas in Manila, known for its extensive collections and historical significance as part of one of Asia’s oldest universities.
  • D. UTS Library
    UTS Library is the academic library of the University of Technology Sydney, providing study spaces, research resources, and digital services to its students and staff.
  • E. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e90efc81909951dbe698afa851 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ecf3e248190868c1eb864191f8b completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:11 p.m.