Triple

T12056924
Position Surface form Disambiguated ID Type / Status
Subject WCPP E287065 entity
Predicate shortName P43 FINISHED
Object WCPP E287065 NE 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: WCPP | Statement: [WCPP, shortName, WCPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WCPP
Context triple: [WCPP, shortName, WCPP]
  • A. WCPP chosen
    WCPP is the legislative body of South Africa’s Western Cape province, responsible for making provincial laws and overseeing the provincial government.
  • B. WCP
    WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • C. WCP
    WCP is the abbreviation for the World’s Children’s Prize, a global educational and rights initiative that empowers children to learn about and support child rights and child-rights advocates.
  • D. WPC
    WPC is the commonly used abbreviation for the World Peace Council, an international organization that advocates for global peace and disarmament.
  • E. WPC
    WPC is a U.S. National Weather Service center responsible for producing national forecasts of heavy rain, snow, and other significant weather events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043bf0ec8190a51ef2641808320c completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dea043c8190a74ffb448bbae5d0 completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.