Triple

T11478
Position Surface form Disambiguated ID Type / Status
Subject Carnegie Hero Fund E234 entity
Predicate hasEligibilityCriteria P216 FINISHED
Object civilian status of the hero 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: civilian status of the hero | Statement: [Carnegie Hero Fund, hasEligibilityCriteria, civilian status of the hero]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEligibilityCriteria
Context triple: [Carnegie Hero Fund, hasEligibilityCriteria, civilian status of the hero]
  • A. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • B. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • C. selectionCriteria
    Indicates the conditions or rules used to choose certain entities from a larger set.
  • D. awardCriteria chosen
    Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
  • E. hasSpecialty
    Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a241ea1ea081908e8a81ca97531ba5 completed Feb. 28, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69a23fe7da8c8190aea795b62cb91621 completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.