Triple

T105651
Position Surface form Disambiguated ID Type / Status
Subject Emperor of Japan E2130 entity
Predicate postWorldWarIIRole P4701 FINISHED
Object constitutional monarch 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: constitutional monarch | Statement: [Emperor of Japan, postWorldWarIIRole, constitutional monarch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postWorldWarIIRole
Context triple: [Emperor of Japan, postWorldWarIIRole, constitutional monarch]
  • A. sideInWorldWarII
    Indicates that an entity was aligned with or participated on a particular side during World War II.
  • B. legalStatusAfterWar chosen
    Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
  • C. enemyDuringWar
    Indicates that one entity is an enemy of another specifically in the context of a particular war or armed conflict.
  • D. statusDuringColdWar
    Indicates the political or diplomatic status or alignment that an entity held specifically during the Cold War period.
  • E. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256ec650c8190bee2067e37065527 completed Feb. 28, 2026, 2:46 a.m.
PD Predicate disambiguation batch_69a2563d33788190999d471b486d5603 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.