Triple
T22324401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大日本国防協会理事長 |
E551865
|
entity |
| Predicate | 関連組織種別 |
P99297
|
FINISHED |
| Object | 国防団体 |
—
|
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: 国防団体 | Statement: [大日本国防協会理事長, 関連組織種別, 国防団体]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連組織種別 Context triple: [大日本国防協会理事長, 関連組織種別, 国防団体]
-
A.
所属組織
Indicates that one entity belongs to, is a member of, or is organizationally affiliated with another entity.
-
B.
associatedOrgan
Indicates that one entity has a relevant connection or linkage to a particular organ, such as anatomical, functional, or pathological association.
-
C.
organOrganization
Indicates that an organ is structurally or functionally part of, or associated with, a specific organization or organizational system.
-
D.
collectiveOrganizationType
chosen
Indicates the specific kind or category of collective organization that an entity belongs to or is classified as.
-
E.
concernedOrganization
Indicates that an organization is involved with, responsible for, or affected by the referenced matter, issue, or activity.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15767425481909547bfe294fe06de |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.