Triple

T939949
Position Surface form Disambiguated ID Type / Status
Subject Chair P E20282 entity
Predicate hasHolderRole P161 FINISHED
Object academic 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: academic | Statement: [Chair P, hasHolderRole, academic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHolderRole
Context triple: [Chair P, hasHolderRole, academic]
  • A. hasRole chosen
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • B. hasGlobalRole
    Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
  • C. hasCustodyRole
    Indicates that one entity holds a specific custodial responsibility or role in relation to another entity.
  • D. hasHolding
    Indicates that one entity possesses, controls, or maintains ownership or custody of another entity as an asset or item.
  • E. hasCapitalRole
    Indicates that an entity holds an official role, function, or status specifically associated with a capital city.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b38b7da08190ac0853655dab678a completed March 1, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69a4b29c68f48190aecad10e351a99de completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.