Triple

T4441863
Position Surface form Disambiguated ID Type / Status
Subject Libs E96189 entity
Predicate associatedIdeologyFamily P21848 FINISHED
Object liberalism 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: liberalism | Statement: [Libs, associatedIdeologyFamily, liberalism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedIdeologyFamily
Context triple: [Libs, associatedIdeologyFamily, liberalism]
  • A. ideologicalFamilies
    Indicates that two or more entities are grouped or related based on sharing the same or closely aligned ideological traditions or belief systems.
  • B. ideologicalAssociation chosen
    Indicates a relationship in which one entity is connected to, aligned with, or characterized by a particular ideology or set of ideological beliefs.
  • C. opposingIdeology
    Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
  • D. ideologicalTheme
    Indicates that one entity embodies, expresses, or is centrally concerned with a particular ideology or set of ideological beliefs.
  • E. ideologicalRange
    Indicates the span or spectrum of ideological positions or beliefs associated with an entity, typically from one end of a defined ideological scale to the 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ad71588190b1dcad4250472c29 completed March 13, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69b34f62c180819097ced38da2052207 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:32 p.m.