Triple

T5677582
Position Surface form Disambiguated ID Type / Status
Subject LDP President E125123 entity
Predicate typicalRelationship P10690 FINISHED
Object often concurrently serves as Prime Minister of Japan when LDP is in power 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: often concurrently serves as Prime Minister of Japan when LDP is in power | Statement: [LDP President, typicalRelationship, often concurrently serves as Prime Minister of Japan when LDP is in power]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRelationship
Context triple: [LDP President, typicalRelationship, often concurrently serves as Prime Minister of Japan when LDP is in power]
  • A. relationshipType chosen
    Indicates the specific kind of relationship that exists between two or more entities.
  • B. basisOfRelationship
    Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
  • C. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • D. relationshipDynamic
    Indicates a changing or evolving pattern of interaction between entities, such as shifts in their roles, closeness, or influence over time.
  • E. historicalRelationship
    Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025303860819093e51f176babed71 completed March 22, 2026, 5:21 p.m.
PD Predicate disambiguation batch_69c021bc3894819084f37d14ba4b2644 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:43 p.m.