Triple
T20912082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 参院 |
E514972
|
entity |
| Predicate | 国会内の位置付け |
P2259
|
FINISHED |
| Object | 良識の府 |
—
|
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: 良識の府 | Statement: [参院, 国会内の位置付け, 良識の府]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国会内の位置付け Context triple: [参院, 国会内の位置付け, 良識の府]
-
A.
hasPositionInBicameralSystem
Indicates that an entity holds a specific role or seat within one of the chambers of a bicameral legislative system.
-
B.
rankInParliament
Indicates the hierarchical position or level of authority that an individual holds within a parliamentary body.
-
C.
positionHeldInTheLegislativeBody
Indicates that an entity holds or has held a specific official role or seat within a legislative body.
-
D.
constitutionalPosition
chosen
Indicates the official role, office, or status an entity holds within a constitutional or legal framework.
-
E.
representedChamber
Indicates that one entity served as the legislative chamber or house in which another entity (such as a person or office) held representation or a seat.
- 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.