Triple

T22139856
Position Surface form Disambiguated ID Type / Status
Subject 犬養毅 E547127 entity
Predicate 主な政策 P63712 FINISHED
Object 金輸出再禁止 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: 金輸出再禁止 | Statement: [犬養毅, 主な政策, 金輸出再禁止]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 主な政策
Context triple: [犬養毅, 主な政策, 金輸出再禁止]
  • A. majorPolicy chosen
    Indicates a relationship where a policy is classified as a primary or highly significant guiding rule or course of action within a system or organization.
  • B. nationalPolicy
    Indicates that an entity establishes, embodies, or is governed by an official policy at the level of a nation-state.
  • C. policyFocus
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • D. economicPolicyOrientation
    Indicates the general stance or approach an entity takes toward economic policy, such as its preferred principles, priorities, or strategies in managing the economy.
  • E. economicPolicyType
    Indicates the classification of an economic policy according to its general type or category (e.g., fiscal, monetary, trade).
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bda1208190b851ae5c68b760e9 completed April 28, 2026, 9:42 p.m.
PD Predicate disambiguation batch_69e71b384e008190b723c9a0f1089d66 completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:32 p.m.