Triple

T26034072
Position Surface form Disambiguated ID Type / Status
Subject Transport Rule E647505 entity
Predicate targetsSource P171396 FINISHED
Object upwind power plant 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: upwind power plant emissions | Statement: [Transport Rule, targetsSource, upwind power plant emissions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetsSource
Context triple: [Transport Rule, targetsSource, upwind power plant emissions]
  • A. targetResource
    Indicates that one entity designates another entity as the specific resource or object toward which an action, request, or operation is directed.
  • B. targetsProvidedBy
    Indicates that one entity supplies or makes available specific targets for another entity to use or act upon.
  • C. targetsVector
    Indicates that one entity is directed toward, aimed at, or focused on another entity represented as a vector (e.g., a direction or target position).
  • D. targetsField
    Indicates that one entity is directed toward, focuses on, or is intended to affect a specific field or attribute of another entity.
  • E. target
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • F. None of above. chosen

Provenance (4 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_69f69f80b62c8190bf2af2be0d3a7df8 completed May 3, 2026, 1:06 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
PDg Predicate description generation batch_69f69edae2448190925ce701c8792c52 completed May 3, 2026, 1:03 a.m.
Created at: April 22, 2026, 9:06 a.m.