Triple
T32421900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 民主党幹事長 |
E828480
|
entity |
| Predicate | 補佐対象 |
P16415
|
FINISHED |
| Object | 民主党代表 |
—
|
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: 民主党代表 | Statement: [民主党幹事長, 補佐対象, 民主党代表]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 補佐対象 Context triple: [民主党幹事長, 補佐対象, 民主党代表]
-
A.
designedToSupplement
Indicates that one entity is created or intended to enhance, complete, or add to the function, content, or effect of another entity.
-
B.
supportsBonus
Indicates that one entity provides or enables an additional benefit, reward, or bonus for another entity.
-
C.
secondaryTarget
Indicates that an entity serves as an additional or subordinate target in relation to a primary target within a given context or action.
-
D.
supportGoal
Indicates that one entity actively helps, promotes, or contributes to the achievement of another entity’s goal.
-
E.
providesSupportTo
chosen
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c28269d08190a72a4ca90e219286 |
completed | May 3, 2026, 3:35 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:54 a.m.