Triple
T20912081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 参院 |
E514972
|
entity |
| Predicate | 国会種別 |
P12532
|
FINISHED |
| Object | 二院制国会の上院 |
—
|
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: 二院制国会の上院 | Statement: [参院, 国会種別, 二院制国会の上院]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国会種別 Context triple: [参院, 国会種別, 二院制国会の上院]
-
A.
chamberOfCongress
Indicates that a legislative chamber is a constituent part or house of a specific congress or legislative body.
-
B.
electedChamber
Indicates that an individual has been chosen through an election to serve as a member of a specific legislative chamber.
-
C.
parliamentaryHouse
chosen
Indicates that one entity functions as a parliamentary chamber or house within the legislative system of another entity.
-
D.
currentRepresentativeChamber
Indicates that an entity currently serves as a representative in a specific legislative chamber.
-
E.
legislativeChamberLevel
Indicates the hierarchical level (e.g., national, state, local) at which a legislative chamber operates within a political or governmental system.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5f5bc48190a8e7e6af60b158fb |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.