Triple

T6516834
Position Surface form Disambiguated ID Type / Status
Subject Up from Liberalism E148284 entity
Predicate hasAuthorPoliticalPosition P71332 FINISHED
Object American conservatism 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: American conservatism | Statement: [Up from Liberalism, hasAuthorPoliticalPosition, American conservatism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAuthorPoliticalPosition
Context triple: [Up from Liberalism, hasAuthorPoliticalPosition, American conservatism]
  • A. hasPoliticalPositionOn
    Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
  • B. hasAuthorPoliticalActivity
    Indicates that an author is engaged in, associated with, or has participated in political activities or actions.
  • C. hasAuthorPoliticalParty
    Indicates that a political party is the one to which the author of a work or document belongs or is affiliated.
  • D. hasPoliticalRole
    Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
  • E. politicalPositionAssociated
    Indicates that there is an association between an entity and a specific political position, role, or office.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0ece2081909c14accef90efd7c completed March 27, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69c68ab98c78819081743e614df04e1d completed March 27, 2026, 1:48 p.m.
PDg Predicate description generation batch_69c69f362ee4819090e8fa48caef7d7d completed March 27, 2026, 3:16 p.m.
Created at: March 27, 2026, 1:44 p.m.