Triple

T7110445
Position Surface form Disambiguated ID Type / Status
Subject Title II – Emission Standards for Moving Sources E165693 entity
Predicate targetsPollutant P29039 FINISHED
Object carbon monoxide 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 monoxide | Statement: [Title II – Emission Standards for Moving Sources, targetsPollutant, carbon monoxide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetsPollutant
Context triple: [Title II – Emission Standards for Moving Sources, targetsPollutant, carbon monoxide]
  • A. targetPollutant chosen
    Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
  • B. pollutionSource
    Indicates that one entity is the origin or cause of pollution affecting another entity or environment.
  • C. pollutant
    Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
  • D. pollutantsCovered
    Indicates that certain pollutants are included within the scope, protection, regulation, or consideration defined by a particular entity, policy, or agreement.
  • E. wasHeavilyPollutedDuring
    Indicates that a place or environment experienced a high level of pollution during a specified time period.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5be09d881909988b5382ffa20ed completed March 27, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69c6e1c4f9788190830288d00cc37026 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:43 p.m.