Triple

T186521
Position Surface form Disambiguated ID Type / Status
Subject LDP E3992 entity
Predicate hasPoliticalOrientationInJapan P6724 FINISHED
Object conservative 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 | Statement: [LDP, hasPoliticalOrientationInJapan, conservative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoliticalOrientationInJapan
Context triple: [LDP, hasPoliticalOrientationInJapan, conservative]
  • A. traditionalPoliticalAlignment
    Indicates how closely an entity’s political views or affiliations align with established, historically dominant, or customary political positions within a given context.
  • B. policyStance
    Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
  • C. politicalPattern
    Indicates a recurring or characteristic way in which political behaviors, decisions, or power dynamics are organized or expressed.
  • D. politicalFunction
    Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
  • E. hasPolity
    Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2594809288190b3d3b1283e7e0d00 completed Feb. 28, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69a25670feb081908e26a2543ebe7b3a completed Feb. 28, 2026, 2:44 a.m.
PDg Predicate description generation batch_69a257e763d081908c54ad57d8d3060d completed Feb. 28, 2026, 2:50 a.m.
Created at: Feb. 28, 2026, 2:40 a.m.