Triple

T2986420
Position Surface form Disambiguated ID Type / Status
Subject General Electric CF34-10E E80635 entity
Predicate emissionsFocus P9953 FINISHED
Object reduced NOx emissions 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: reduced NOx emissions | Statement: [General Electric CF34-10E, emissionsFocus, reduced NOx emissions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emissionsFocus
Context triple: [General Electric CF34-10E, emissionsFocus, reduced NOx emissions]
  • A. emissionsControl
    Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
  • B. environmentalFocus chosen
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • C. sustainabilityFocus
    Indicates a relationship where an entity prioritizes or emphasizes environmental, social, or long-term resource sustainability in its actions, policies, or strategies.
  • D. targetPollutant
    Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c76dfc8190b08bd6110ffabf25 completed March 8, 2026, 3:46 p.m.
PD Predicate disambiguation batch_69ad9611fc348190a5d17d237f653f60 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:59 p.m.