Triple
T14326656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 枝野幸男 |
E355231
|
entity |
| Predicate | 所属政党での立場 |
P56201
|
FINISHED |
| Object | 野党第一党の代表を務めた |
—
|
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: 野党第一党の代表を務めた | Statement: [枝野幸男, 所属政党での立場, 野党第一党の代表を務めた]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属政党での立場 Context triple: [枝野幸男, 所属政党での立場, 野党第一党の代表を務めた]
-
A.
partyAffiliationOfCurrentOfficeHolder
Indicates the political party with which the person currently holding a given office is affiliated.
-
B.
namedForPoliticalParty
Indicates that an entity is named after or in honor of a specific political party.
-
C.
registeredAsPoliticalParty
Indicates that an entity is officially recorded and recognized as a political party by the relevant authority or registry.
-
D.
politicalPositionAssociated
chosen
Indicates that there is an association between an entity and a specific political position, role, or office.
-
E.
memberOfPoliticalCoalition
Indicates that an entity belongs to or participates as a constituent member in a specific political coalition.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.