Triple

T828488
Position Surface form Disambiguated ID Type / Status
Subject Sea Cadets E17909 entity
Predicate hasCharitableStatus P70 FINISHED
Object registered charity in the United Kingdom 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: registered charity in the United Kingdom | Statement: [Sea Cadets, hasCharitableStatus, registered charity in the United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCharitableStatus
Context triple: [Sea Cadets, hasCharitableStatus, registered charity in the United Kingdom]
  • A. nonprofitStatus chosen
    Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
  • B. hasCharitableFoundation
    Indicates that an entity maintains or is associated with a charitable foundation, typically for philanthropic or nonprofit activities.
  • C. hasCharitySingle
    Indicates that an entity is associated with exactly one specific charitable organization or charitable initiative.
  • D. associatedCharity
    Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
  • E. philanthropicBeneficiary
    Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab99b1e48190afad1f073348b29a completed March 1, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69a4aa79a6488190a634388e071ed9b7 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.