Triple
T21461826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陸軍次官 |
E529489
|
entity |
| Predicate | 対比される役職 |
P11289
|
FINISHED |
| Object | 参謀次長 |
—
|
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: 参謀次長 | Statement: [陸軍次官, 対比される役職, 参謀次長]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 対比される役職 Context triple: [陸軍次官, 対比される役職, 参謀次長]
-
A.
comparativeRole
Indicates a relationship where one entity’s role is compared to another’s in terms of level, importance, or function.
-
B.
roleSimilarTo
Indicates that two entities have roles or functions that are alike or closely comparable in nature or responsibility.
-
C.
representedRole
Indicates that one entity serves as a stand-in, proxy, or representative performing a role on behalf of another entity.
-
D.
oftenContrastedWith
chosen
Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
-
E.
contrastedWithObject
Indicates that one entity is explicitly compared to another by highlighting their differences or opposing characteristics.
- 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.