Triple

T34910994
Position Surface form Disambiguated ID Type / Status
Subject 2014 Connecticut gubernatorial election E1006863 entity
Predicate mainOpponentPoliticalIdeology P77419 FINISHED
Object conservative Republican 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: conservative Republican | Statement: [2014 Connecticut gubernatorial election, mainOpponentPoliticalIdeology, conservative Republican]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainOpponentPoliticalIdeology
Context triple: [2014 Connecticut gubernatorial election, mainOpponentPoliticalIdeology, conservative Republican]
  • A. mainIdeologue
    Indicates that one entity serves as the primary theorist or chief ideological architect behind another entity’s beliefs, policies, or movement.
  • B. opposingIdeology
    Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
  • C. mainOpposingPolitician
    Indicates that one politician is the primary political rival or adversary of another.
  • D. notableOpponentIdeology chosen
    Indicates that an entity’s notable opponent is associated with, represents, or is characterized by a particular ideology.
  • E. opposingFactionIdeology
    Indicates that two factions hold ideologies that are in direct conflict or fundamental opposition to each other.
  • 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_69f76dc1b4a081909b4c6e4d8ec0aa2d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7979a073881909a4fde2558e6b6f3 completed May 3, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69f7961550f88190b7bb8a9155458b54 completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4 p.m.