Triple
T25647659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大日本帝国 |
E643007
|
entity |
| Predicate | 政治体制 |
P220
|
FINISHED |
| Object | 議会制 |
—
|
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: 議会制 | Statement: [大日本帝国, 政治体制, 議会制]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 政治体制 Context triple: [大日本帝国, 政治体制, 議会制]
-
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.
typeOfPolity
Indicates that one entity is a political unit and the other specifies the kind or classification of that polity (e.g., empire, kingdom, republic).
-
C.
politicalFramework
Indicates the overarching system of political structures, principles, and rules that organize and govern relationships and decision-making within a society or institution.
-
D.
politicalForm
Indicates the type or structure of governance or political organization that characterizes an entity.
-
E.
associatedPoliticalSystem
Indicates that there exists a political system with which the subject is formally or conceptually connected.
- 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_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 5:57 p.m.