Triple
T10529727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 福田康夫 |
E248404
|
entity |
| Predicate | 官邸ポスト経験 |
P94393
|
FINISHED |
| Object | 内閣官房副長官 |
—
|
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: 内閣官房副長官 | Statement: [福田康夫, 官邸ポスト経験, 内閣官房副長官]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 官邸ポスト経験 Context triple: [福田康夫, 官邸ポスト経験, 内閣官房副長官]
-
A.
diplomaticPost
Indicates that an entity holds or is assigned to an official diplomatic position or mission representing one state or organization to another.
-
B.
residenceAssociatedWithOffice
Indicates a relationship where a residence is connected or linked to a particular office, such as being located at, attached to, or officially designated for that office.
-
C.
laterOffice
Indicates that one office or term of office occurs chronologically after another office or term.
-
D.
formerCapitalResidence
Indicates that an entity once served as the official residence associated with a capital (such as a capital city or seat of government) but no longer holds that status.
-
E.
houseSeat
Indicates that a particular location or structure serves as the primary residence or official dwelling place for an entity.
- F. None of above. chosen
Provenance (4 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f7d8ac8190b90c1a7f77b23545 |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:30 p.m.