Triple
T22440249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 秋篠宮紀子妃 |
E554734
|
entity |
| Predicate | 公的役職 |
P88885
|
FINISHED |
| Object | 各種福祉団体名誉総裁 |
—
|
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: 各種福祉団体名誉総裁 | Statement: [秋篠宮紀子妃, 公的役職, 各種福祉団体名誉総裁]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 公的役職 Context triple: [秋篠宮紀子妃, 公的役職, 各種福祉団体名誉総裁]
-
A.
governmentalRole
Indicates that an entity holds or is assigned a specific official position, function, or authority within a government or public administration structure.
-
B.
戦前の役職
Indicates a role or position that an entity held before the war.
-
C.
titleHolderPublicDuties
chosen
Indicates that the title holder has official public responsibilities or duties associated with their position.
-
D.
前身職位
Indicates that one position previously held by an entity served as the predecessor role to another, later position.
-
E.
areaOfPublicOffice
Indicates the geographic or jurisdictional area over which a public office or official has authority or responsibility.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae0edcc8190919b198035de0df2 |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.