Triple

T25647669
Position Surface form Disambiguated ID Type / Status
Subject 大日本帝国 E643007 entity
Predicate 宗教政策 P7601 FINISHED
Object 国家神道 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: 国家神道 | Statement: [大日本帝国, 宗教政策, 国家神道]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 宗教政策
Context triple: [大日本帝国, 宗教政策, 国家神道]
  • A. religionPolicy chosen
    Indicates the stance, rules, or approach an entity adopts toward religious beliefs, practices, or institutions.
  • B. 相关政策
    Indicates that there exists a relevant or associated policy that applies to, governs, or influences the specified entity or situation.
  • C. dominantReligionPolicy
    Indicates the policy or stance an authority adopts toward the religion that holds dominant or majority status within a given context.
  • D. religiousPolicyOutcome
    Indicates the consequences or effects that a particular religious policy has on individuals, groups, or society.
  • E. recognizedReligionPolicy
    Indicates that a governing authority has an official policy specifying which religions are formally recognized and how they are treated or regulated.
  • 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_69e77e7ce28081908b08d65ee6e5c8be completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5faa6399c8190b24bba1b8ccc7bdc completed May 2, 2026, 1:22 p.m.
PD Predicate disambiguation batch_69f4807f8680819098a524158d049c63 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 5:57 p.m.