Triple
T14326660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 枝野幸男 |
E355231
|
entity |
| Predicate | 代表を務めた政党 |
P54909
|
FINISHED |
| Object | 立憲民主党 |
—
|
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: 立憲民主党 | Statement: [枝野幸男, 代表を務めた政党, 立憲民主党]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 代表を務めた政党 Context triple: [枝野幸男, 代表を務めた政党, 立憲民主党]
-
A.
hasRepresentativeParty
chosen
Indicates that an entity is officially represented or acted for by a particular political party or organized group.
-
B.
formerMemberParty
Indicates that an entity previously belonged to a particular political party but is no longer a member.
-
C.
previousRepresentativeParty
Indicates that a given party previously served as the representative party for another entity before the current representative was in place.
-
D.
hasRepresented
Indicates that one entity has acted or served as an official representative or agent for another entity.
-
E.
tookPlaceInGovernmentBody
Indicates that an event or action occurred within, or under the authority of, a specific governmental body or institution.
- 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.