Triple

T2088815
Position Surface form Disambiguated ID Type / Status
Subject Gordon and Betty Moore Foundation E32617 entity
Predicate grantMakingMethod P28889 FINISHED
Object strategic grantmaking 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: strategic grantmaking | Statement: [Gordon and Betty Moore Foundation, grantMakingMethod, strategic grantmaking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantMakingMethod
Context triple: [Gordon and Betty Moore Foundation, grantMakingMethod, strategic grantmaking]
  • A. grantSelectionMethod chosen
    Indicates the method or criteria by which a grant is chosen or awarded among potential candidates.
  • B. grantedBy
    Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
  • C. grantedWith
    Indicates that one entity is given, conferred, or endowed together with another entity as part of the same granting event or condition.
  • D. grantedIn
    Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
  • E. grantStructure
    Indicates that an entity provides or defines the organizational or structural framework for another entity or process.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba712388819091d68a4bb99f6b17 completed March 7, 2026, 5:41 a.m.
PD Predicate disambiguation batch_69abb7b4356881909217c42ccb8bb1ed completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.