Triple

T13528008
Position Surface form Disambiguated ID Type / Status
Subject pro-vice-chancellors E323060 entity
Predicate oftenHoldRank P7007 FINISHED
Object professor LITERAL 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: professor | Statement: [pro-vice-chancellors, oftenHoldRank, professor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenHoldRank
Context triple: [pro-vice-chancellors, oftenHoldRank, professor]
  • A. typicallyHoldsRank chosen
    Indicates that an entity is most commonly or usually associated with holding a particular rank or level in a hierarchy.
  • B. holdsTo
    Indicates that one entity maintains, adheres, or remains committed to another entity, such as a belief, standard, agreement, or condition.
  • C. eligibleRank
    Indicates that an entity meets the required rank or level criteria to qualify for a specific role, action, or benefit.
  • D. oftenHeldToBe
    Indicates that something is frequently regarded, considered, or believed to be a certain way by many people or in many contexts.
  • E. oftenHeldAs
    Indicates that one entity is frequently regarded, considered, or believed to be in a particular way with respect to another entity or property.
  • F. None of above.

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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
PD Predicate disambiguation batch_69dbae1046c48190b4ee98c6c9cb9d85 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.