Triple

T14975976
Position Surface form Disambiguated ID Type / Status
Subject Republican Governors Association E373448 entity
Predicate political position P20145 FINISHED
Object right-wing 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: right-wing | Statement: [Republican Governors Association, political position, right-wing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: political position
Context triple: [Republican Governors Association, political position, right-wing]
  • A. politicalPositionOnElectoralPolitics
    Indicates a stance or viewpoint an entity holds regarding participation in, support for, or opposition to electoral political processes and institutions.
  • B. politicalPositionAssociated
    Indicates that there is an association between an entity and a specific political position, role, or office.
  • C. politicalAttitude
    Indicates an individual's stance, opinion, or orientation toward political issues, ideologies, or actors.
  • D. politicalSide chosen
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • E. politicalBase
    Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
  • 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.