Triple

T18436782
Position Surface form Disambiguated ID Type / Status
Subject Clean Development Mechanism E450411 entity
Predicate COPBodyName P131599 FINISHED
Object CMP NE NERFINISHED

How this triple was built (4 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: CMP | Statement: [Clean Development Mechanism, COPBodyName, CMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMP
Context triple: [Clean Development Mechanism, COPBodyName, CMP]
  • A. CMP
    CMP is the ICAO airline designator used to identify Copa Airlines in international aviation operations and communications.
  • B. CMP
    CMP is a U.S. national organization that promotes firearms safety and marksmanship training, particularly among civilians and youth, and oversees certain surplus military rifle sales.
  • C. CMP
    CMP is the abbreviated name of the historic Compagnie du chemin de fer métropolitain de Paris, the company that originally built and operated much of the Paris Métro.
  • D. CM
    CM is the two-letter IATA airline designator assigned to Copa Airlines, the flag carrier of Panama.
  • E. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CMP
Target entity description: CMP is the Conference of the Parties serving as the Meeting of the Parties to the Kyoto Protocol, the governing body that oversees and makes decisions on the protocol’s implementation.
  • A. CMP
    CMP is the ICAO airline designator used to identify Copa Airlines in international aviation operations and communications.
  • B. CMP
    CMP is a U.S. national organization that promotes firearms safety and marksmanship training, particularly among civilians and youth, and oversees certain surplus military rifle sales.
  • C. CMP
    CMP is the abbreviated name of the historic Compagnie du chemin de fer métropolitain de Paris, the company that originally built and operated much of the Paris Métro.
  • D. CM
    CM is the two-letter IATA airline designator assigned to Copa Airlines, the flag carrier of Panama.
  • E. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: COPBodyName
Context triple: [Clean Development Mechanism, COPBodyName, CMP]
  • A. conferringBody
    Indicates the organization or authority that formally grants or bestows something, such as an award, degree, or title, upon a recipient.
  • B. coordinationBody
    Indicates that an entity serves as an organizing or governing body that coordinates the activities, policies, or interactions of other entities.
  • C. nominatingBody
    Indicates the entity (such as a person or organization) that formally puts forward another entity for an award, position, or recognition.
  • D. governingBodyOfType
    Indicates that an entity serves as the official governing body for another entity of a specified type or category.
  • E. governingBody2
    Indicates that an entity serves as the official authority or administrative body responsible for overseeing, managing, or regulating another entity.
  • F. None of above. chosen

Provenance (4 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0cd30c8190b8417c264e60d3a5 completed April 19, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69e469c943a4819094c8fdc5971ad3a7 completed April 19, 2026, 5:36 a.m.
PDg Predicate description generation batch_69e46d2aa72c8190a40854a7a52081e2 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 11:29 a.m.