Triple

T14975991
Position Surface form Disambiguated ID Type / Status
Subject Republican Governors Association E373448 entity
Predicate lobbying target P76478 FINISHED
Object state governments in the United States 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: state governments in the United States | Statement: [Republican Governors Association, lobbying target, state governments in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lobbying target
Context triple: [Republican Governors Association, lobbying target, state governments in the United States]
  • A. targetedOffice
    Indicates that an action, event, or campaign was specifically directed at or focused on a particular office or organizational unit.
  • B. targetConstituency
    Indicates that something is directed toward, intended for, or affects a particular constituency or group of stakeholders.
  • C. governingBodyTargeted chosen
    Indicates that an action or event is specifically directed at, aimed at, or intended to affect a governing body.
  • D. oppositionTargeted
    Indicates that an action or strategy is specifically directed against or aimed at an opposing party, group, or viewpoint.
  • E. targetedIncumbent
    Indicates that an action, strategy, or effort was specifically directed at an existing office-holder or current position-holder.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e8733081908e06b53746eb6eb6 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a5d995881909e33658f5aea5582 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:51 a.m.