Triple

T15330670
Position Surface form Disambiguated ID Type / Status
Subject University of Art and Design Linz E366522 entity
Predicate governedBy P46 FINISHED
Object Rector E672698 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: Rector | Statement: [University of Art and Design Linz, governedBy, Rector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rector
Context triple: [University of Art and Design Linz, governedBy, Rector]
  • A. Rector chosen
    The Rector is the highest academic and administrative leader of the University of Tirana, responsible for overseeing its governance, strategy, and overall management.
  • B. Rector
    Rector is a surname of English origin borne by various individuals, including Harriet Amanda Rector.
  • C. Rector Major
    The Rector Major is the worldwide leader and highest authority of the Salesians of Don Bosco, responsible for guiding the congregation’s mission and governance.
  • D. Dean of Connor
    The Dean of Connor is the senior cleric responsible for overseeing the cathedral chapter and liturgical life within the Church of Ireland’s Diocese of Connor.
  • E. The Provost
    The Provost is a shadowy, high-ranking operative in Dan Brown's thriller "Inferno," overseeing covert operations for a powerful private security organization.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b1b2d08190a158bf65535ad750 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:17 a.m.