Triple
T34158886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Councillors constituencies of Japan |
E876219
|
entity |
| Predicate | electsChamberOf |
P63783
|
FINISHED |
| Object | National Diet of Japan |
—
|
NE NERFINISHED |
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: National Diet of Japan | Statement: [House of Councillors constituencies of Japan, electsChamberOf, National Diet of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electsChamberOf Context triple: [House of Councillors constituencies of Japan, electsChamberOf, National Diet of Japan]
-
A.
electsToChamber
chosen
Indicates that a group or body selects or votes individuals into membership of a specific legislative chamber.
-
B.
electedChamber
Indicates that an individual has been chosen through an election to serve as a member of a specific legislative chamber.
-
C.
electsCouncil
Indicates that one entity selects or votes to choose the members of a council that will represent or govern on its behalf.
-
D.
electsBranch
Indicates that one entity selects or votes to choose another entity as a governing or decision-making branch.
-
E.
electionForChamber
Indicates that an election is held to choose members for a specific legislative or representative chamber.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: May 1, 2026, 1:54 a.m.