Triple

T21864298
Position Surface form Disambiguated ID Type / Status
Subject MECP E539844 entity
Predicate abbreviation P43 FINISHED
Object MECP NE NERFINISHED

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: MECP | Statement: [MECP, abbreviation, MECP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MECP
Context triple: [MECP, abbreviation, MECP]
  • A. MECP chosen
    MECP is the provincial government ministry in Ontario responsible for environmental protection, conservation, and managing the province’s parks system.
  • B. MEP
    MEP stands for "Member of the European Parliament," referring to an elected representative serving in the European Union's legislative body.
  • C. MEP
    MEP is a Multidisciplinary Expert Panel that brings together specialists from diverse fields to provide integrated, cross-sectoral scientific and technical advice.
  • D. MEP
    MEP is the ICAO airline designator assigned to Midwest Connect, a former regional airline brand in the United States.
  • E. MEP
    MEP is the acronym for Cuba’s Ministry of Economy and Planning, the government body responsible for directing national economic policy and development planning.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63d927c8190bcfccc140357484c completed April 28, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:56 p.m.