Triple

T4524791
Position Surface form Disambiguated ID Type / Status
Subject Kyoto Protocol E103350 entity
Predicate coversGreenhouseGas P28681 FINISHED
Object carbon dioxide 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: carbon dioxide | Statement: [Kyoto Protocol, coversGreenhouseGas, carbon dioxide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coversGreenhouseGas
Context triple: [Kyoto Protocol, coversGreenhouseGas, carbon dioxide]
  • A. hasGreenhouseEffect
    Indicates that one entity causes or contributes to a greenhouse effect on another entity, typically by trapping heat through atmospheric or environmental mechanisms.
  • B. hasGreenhouse
    Indicates that an entity possesses or includes a greenhouse structure or facility.
  • C. greenType
    Indicates that one entity is classified as a specific type or category within the broader concept of "green" (e.g., a subtype, variant, or classification related to greenness).
  • D. pollutantsCovered chosen
    Indicates that certain pollutants are included within the scope, protection, regulation, or consideration defined by a particular entity, policy, or agreement.
  • E. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5773341c8190bf27745feb863575 completed March 20, 2026, 2:19 p.m.
PD Predicate disambiguation batch_69bd521cf77c819083852de3094d1377 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:03 p.m.