Triple
T9191334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黒川紀章 |
E220593
|
entity |
| Predicate | 政治活動 |
P29201
|
FINISHED |
| Object | 2007年東京都知事選挙立候補 |
—
|
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: 2007年東京都知事選挙立候補 | Statement: [黒川紀章, 政治活動, 2007年東京都知事選挙立候補]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 政治活動 Context triple: [黒川紀章, 政治活動, 2007年東京都知事選挙立候補]
-
A.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
-
B.
politicalAct
chosen
Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
-
C.
genreOfPoliticalActivity
Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
-
D.
electoralActivity
Indicates involvement in activities related to organizing, participating in, or influencing an election or electoral process.
-
E.
civicActivity
Indicates participation in or performance of activities related to civic engagement, public service, or community involvement.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bf25c081909e651b67ef8ecc33 |
completed | April 1, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.