Triple

T7113681
Position Surface form Disambiguated ID Type / Status
Subject Day 1 Families Fund E165763 entity
Predicate grantMakingModel P74620 FINISHED
Object annual grants 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: annual grants | Statement: [Day 1 Families Fund, grantMakingModel, annual grants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantMakingModel
Context triple: [Day 1 Families Fund, grantMakingModel, annual grants]
  • A. grantUse
    Indicates that one entity gives another entity permission or authorization to use something.
  • B. grantedBy
    Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
  • C. believedToGrant
    Indicates that something is thought or assumed to provide, confer, or bestow a particular benefit, quality, or effect.
  • D. grantStructure
    Indicates that an entity provides or defines the organizational or structural framework for another entity or process.
  • E. grantedIn
    Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
  • F. None of above. chosen

Provenance (4 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5ef813c8190bec0ab0cbae430e5 completed March 27, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69c6e1c4f9788190830288d00cc37026 completed March 27, 2026, 8 p.m.
PDg Predicate description generation batch_69c6e456e89481908df42a1b4232a4a0 completed March 27, 2026, 8:11 p.m.
Created at: March 27, 2026, 2:43 p.m.