Triple

T18436772
Position Surface form Disambiguated ID Type / Status
Subject Clean Development Mechanism E450411 entity
Predicate creditsUse P131598 FINISHED
Object compliance with Kyoto Protocol 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: compliance with Kyoto Protocol emission reduction commitments | Statement: [Clean Development Mechanism, creditsUse, compliance with Kyoto Protocol emission reduction commitments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: creditsUse
Context triple: [Clean Development Mechanism, creditsUse, compliance with Kyoto Protocol emission reduction commitments]
  • A. creditsCanBe
    Indicates that certain credits are permitted to be in a specified state, category, or usage condition.
  • B. creditFunction
    Indicates a financial role or operation through which an entity extends, manages, or utilizes credit within an economic or transactional context.
  • C. rewardUse
    Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
  • D. chargesVia
    Indicates that one entity charges or powers another entity using a specified medium, method, or interface.
  • E. inscriptionUsedWith
    Indicates that a particular inscription is employed together with, or in association with, another object, tool, or context in which it is applied or interpreted.
  • 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.