Triple
T5763718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 麻生太郎 |
E127157
|
entity |
| Predicate | 選出回数 |
P66235
|
FINISHED |
| Object | 衆議院議員として複数回当選 |
—
|
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: 衆議院議員として複数回当選 | Statement: [麻生太郎, 選出回数, 衆議院議員として複数回当選]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 選出回数 Context triple: [麻生太郎, 選出回数, 衆議院議員として複数回当選]
-
A.
roundCount
Indicates the number of discrete rounds or iterations that have occurred or are allocated within a process, event, or interaction.
-
B.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
-
C.
selectionSessionNumber
Indicates the specific numbered position or identifier assigned to a selection within a sequence or session of selections.
-
D.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
E.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
- F. None of above. chosen
Provenance (4 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0296e12d48190bd120879723bb6e8 |
completed | March 22, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:49 p.m.