Triple
T6337612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 重光 葵 |
E142529
|
entity |
| Predicate | 所属国の体制 |
P220
|
FINISHED |
| Object | 戦前・戦中の日本帝国政府 |
—
|
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: 戦前・戦中の日本帝国政府 | Statement: [重光 葵, 所属国の体制, 戦前・戦中の日本帝国政府]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属国の体制 Context triple: [重光 葵, 所属国の体制, 戦前・戦中の日本帝国政府]
-
A.
governmentType
chosen
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
B.
sovereigntyRegime
Indicates the type or structure of political authority and control exercised over a territory or population.
-
C.
typeOfSelfGovernment
Indicates the specific form or system of self-governance exercised by an entity, such as its degree or structure of political autonomy.
-
D.
typeOfGovernmentAfter
Indicates the form of government that exists or is established in a place following a specified event or time period.
-
E.
politicalSystemOnOtherSide
Indicates that one political system is located or operates on the opposite side of a specified reference point or boundary relative to another.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.