Triple

T26034104
Position Surface form Disambiguated ID Type / Status
Subject North Carolina v. EPA E647506 entity
Predicate pollutantsAddressed P29039 FINISHED
Object sulfur 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: sulfur dioxide | Statement: [North Carolina v. EPA, pollutantsAddressed, sulfur dioxide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pollutantsAddressed
Context triple: [North Carolina v. EPA, pollutantsAddressed, sulfur dioxide]
  • A. pollutantsCovered
    Indicates that certain pollutants are included within the scope, protection, regulation, or consideration defined by a particular entity, policy, or agreement.
  • B. treatsPollutant
    Indicates that an entity performs an action or process to remove, neutralize, or reduce the harmful effects of a pollutant.
  • C. targetPollutant chosen
    Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
  • D. environmentalIssueAddressed
    Indicates that an action, policy, or entity is aimed at tackling, mitigating, or resolving a specific environmental problem or concern.
  • E. pollutant
    Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
  • 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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f612607c388190ab61d1ac7d18e08d completed May 2, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69f611a9272881909093360472be832c completed May 2, 2026, 3 p.m.
Created at: April 22, 2026, 9:06 a.m.