Triple

T9199644
Position Surface form Disambiguated ID Type / Status
Subject Arts and Humanities Research Council E220803 entity
Predicate disciplineSupported P327 FINISHED
Object history 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: history | Statement: [Arts and Humanities Research Council, disciplineSupported, history]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disciplineSupported
Context triple: [Arts and Humanities Research Council, disciplineSupported, history]
  • A. supportsDiscipline chosen
    Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
  • B. governingDiscipline
    Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
  • C. hasDisciplineSystem
    Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
  • D. associatedWithDiscipline
    Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
  • E. offersDiscipline
    Indicates that one entity provides or makes available a particular field of study, training, or area of specialization to another entity.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd881c5d48190bbc33fac71a1d849 completed April 1, 2026, 8:34 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:25 p.m.