Triple
T27476811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 三木武夫 |
E693484
|
entity |
| Predicate | 主な政策テーマ |
P148602
|
FINISHED |
| Object | 日米関係の安定 |
—
|
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: 日米関係の安定 | Statement: [三木武夫, 主な政策テーマ, 日米関係の安定]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主な政策テーマ Context triple: [三木武夫, 主な政策テーマ, 日米関係の安定]
-
A.
majorPolicy
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.
policyTopic
chosen
Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
-
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.
politicalTheme
Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
-
E.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 12:57 p.m.