Triple
T19532614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 嶋田繁太郎 |
E488691
|
entity |
| Predicate | 軍階 |
P342
|
FINISHED |
| Object | 海軍大将 |
—
|
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: 海軍大将 | Statement: [嶋田繁太郎, 軍階, 海軍大将]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 軍階 Context triple: [嶋田繁太郎, 軍階, 海軍大将]
-
A.
militaryRank
chosen
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
B.
isMilitaryRank
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
-
C.
階級
Indicates a hierarchical relationship in which entities are ordered or positioned according to rank, level, or social class.
-
D.
civilServiceRank
Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
-
E.
militaryRankScope
Indicates the hierarchical level or range of authority that a military rank applies to within an organizational or operational context.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6364091f4819088b27d0ffdf6010d |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.