Triple

T30189544
Position Surface form Disambiguated ID Type / Status
Subject RCP3-PD E767433 entity
Predicate hasPolicyAssumption P116677 FINISHED
Object aggressive global cooperation on emissions reductions 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: aggressive global cooperation on emissions reductions | Statement: [RCP3-PD, hasPolicyAssumption, aggressive global cooperation on emissions reductions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPolicyAssumption
Context triple: [RCP3-PD, hasPolicyAssumption, aggressive global cooperation on emissions reductions]
  • A. hasPolicySupport
    Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
  • B. hasPolicyAspect chosen
    Indicates that something includes, reflects, or is related to a particular policy-related dimension, feature, or consideration.
  • C. hasPolicyFunction
    Indicates that an entity is associated with, governed by, or characterized through a particular policy function or set of policy rules.
  • D. hasPolicyStatus
    Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
  • E. containsPolicyOn
    Indicates that one entity includes, references, or incorporates a specific policy within it.
  • 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_69f2247cc3d88190811dec3face94bf5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd91a5dad8819093eeeef527027890 completed May 8, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69fd8f65fe9081908902500a3228d935 completed May 8, 2026, 7:23 a.m.
Created at: April 29, 2026, 7:28 p.m.