Triple
T4766487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 池田勇人 |
E105823
|
entity |
| Predicate | 政治的立場 |
P15842
|
FINISHED |
| Object | 保守本流 |
—
|
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: 保守本流 | Statement: [池田勇人, 政治的立場, 保守本流]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 政治的立場 Context triple: [池田勇人, 政治的立場, 保守本流]
-
A.
politicalIssueFor
Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
-
B.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
C.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
D.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
E.
politicalBase
Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.