Triple

T248605
Position Surface form Disambiguated ID Type / Status
Subject Royal Society University Research Fellowships E5091 entity
Predicate fundingBodyType P2589 FINISHED
Object learned society 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: learned society | Statement: [Royal Society University Research Fellowships, fundingBodyType, learned society]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fundingBodyType
Context triple: [Royal Society University Research Fellowships, fundingBodyType, learned society]
  • A. foundedOrganizationType
    Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
  • B. fundedBy
    Indicates that an entity receives financial support or resources from another entity.
  • C. sponsoringOrganizationType chosen
    Indicates the kind or category of organization that provides sponsorship or support in the described relationship or activity.
  • D. hasAwardingBodyType
    Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
  • E. organizationType
    Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d154ebc819087a5c9dc4f62ff44 completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b64ea3081908de626a0e1445bdb completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.