Triple
T19129723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 佐藤栄作 |
E468282
|
entity |
| Predicate | 外交方針 |
P42068
|
FINISHED |
| Object | 日米安保体制の維持強化 |
—
|
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: 日米安保体制の維持強化 | Statement: [佐藤栄作, 外交方針, 日米安保体制の維持強化]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 外交方針 Context triple: [佐藤栄作, 外交方針, 日米安保体制の維持強化]
-
A.
diplomaticPolicy
chosen
Indicates the stance, strategy, or set of guiding principles an entity adopts in managing its diplomatic relations and interactions with others.
-
B.
foreignAffairsMinistry
Indicates that an entity serves as the government body responsible for managing a state's foreign relations and diplomatic affairs with other countries.
-
C.
foreignPolicyArea
Indicates the specific domain or topic within foreign policy to which an action, decision, or statement is related.
-
D.
diplomaticActivity
Indicates engagement in formal or informal diplomatic actions or interactions between parties, such as negotiations, consultations, or representation.
-
E.
isPartOfCrossStraitRelations
Indicates that something belongs to, affects, or is involved in the political, economic, social, or cultural interactions and dynamics between the two sides of the Taiwan Strait.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cf8d348190b27fc7d7d39f46f1 |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.