Triple
T21461836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陸軍次官 |
E529489
|
entity |
| Predicate | 廃止理由 |
P13662
|
FINISHED |
| Object | 第二次世界大戦後の日本軍解体 |
—
|
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: 第二次世界大戦後の日本軍解体 | Statement: [陸軍次官, 廃止理由, 第二次世界大戦後の日本軍解体]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 廃止理由 Context triple: [陸軍次官, 廃止理由, 第二次世界大戦後の日本軍解体]
-
A.
reasonForAnnulment
Indicates the specific cause or grounds on which a prior decision, agreement, or status is formally annulled or declared invalid.
-
B.
abandonedReason
Indicates the reason or cause for which something was abandoned, discontinued, or given up.
-
C.
reasonForDisbandment
chosen
Indicates the cause or circumstance that led to a group, organization, or entity being dissolved or disbanded.
-
D.
reasonForElimination
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
-
E.
reasonForDiscontinuation
Indicates that one entity specifies the cause or justification for stopping, ending, or withdrawing another entity, process, 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ef0c0881908554977df00604a6 |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:09 p.m.