Triple

T20549680
Position Surface form Disambiguated ID Type / Status
Subject CMP6 E504563 entity
Predicate typeOfAgreementDiscussed P38198 FINISHED
Object legally binding emission reduction commitments 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: legally binding emission reduction commitments | Statement: [CMP6, typeOfAgreementDiscussed, legally binding emission reduction commitments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfAgreementDiscussed
Context triple: [CMP6, typeOfAgreementDiscussed, legally binding emission reduction commitments]
  • A. hasTypeOfAgreement chosen
    Indicates that one entity is associated with, or governed by, a specific category or type of agreement.
  • B. typeOfNegotiation
    Indicates the specific kind or category of negotiation process that characterizes the interaction between the involved parties.
  • C. typeOfContract
    Indicates the specific kind or category of contractual agreement that applies between the related entities.
  • D. involvedAgreement
    Indicates that an entity participates in, is a party to, or is otherwise associated with a specific agreement or contract.
  • E. basedOnAgreementWith
    Indicates that something exists, is done, or is determined on the basis of a prior agreement or accord between the involved parties.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d739bc8190b2bf60f82d2ade0c completed April 20, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69e59fe5592c8190bb6122b784496d02 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:38 a.m.