Triple

T25433869
Position Surface form Disambiguated ID Type / Status
Subject Native Hawaiian Health Centers E637325 entity
Predicate oftenReceivesFundingFrom P67 FINISHED
Object grants for Native Hawaiian health 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: grants for Native Hawaiian health | Statement: [Native Hawaiian Health Centers, oftenReceivesFundingFrom, grants for Native Hawaiian health]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenReceivesFundingFrom
Context triple: [Native Hawaiian Health Centers, oftenReceivesFundingFrom, grants for Native Hawaiian health]
  • A. fundedBy chosen
    Indicates that an entity receives financial support or resources from another entity.
  • B. seeksFundingFrom
    Indicates that one entity is actively trying to obtain financial support or investment from another entity.
  • C. funderOf
    Indicates that one entity provides financial support or funding for another entity, project, or activity.
  • D. fundingFocus
    Indicates that one entity’s funding is directed toward or prioritized for a particular target, theme, or area of activity.
  • E. includesFundingFor
    Indicates that one entity’s financial resources or budget allocation explicitly cover or provide funding for another entity, project, or activity.
  • 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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f606c79ad081908369605f72e65ca6 completed May 2, 2026, 2:14 p.m.
PD Predicate disambiguation batch_69f602ce79ec8190b8336c2b9de18ac7 completed May 2, 2026, 1:57 p.m.
Created at: April 21, 2026, 1:59 p.m.