Triple

T9681418
Position Surface form Disambiguated ID Type / Status
Subject World on Fire E234289 entity
Predicate benefitsCharities P16661 FINISHED
Object multiple international aid organizations 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: multiple international aid organizations | Statement: [World on Fire, benefitsCharities, multiple international aid organizations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitsCharities
Context triple: [World on Fire, benefitsCharities, multiple international aid organizations]
  • A. associatedCharity
    Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
  • B. philanthropicBeneficiary chosen
    Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
  • C. philanthropicDonation
    Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
  • D. charityComponent
    Indicates that one entity functions as a charitable element, feature, or part within another entity or larger arrangement.
  • E. hasCharitableFunction
    Indicates that an entity performs or is designated to perform activities intended for charitable purposes or public benefit.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9fec1c8190b2626848cb2c1871 completed April 1, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69ccd5b5d40c8190850ad7a351445f32 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:16 p.m.