Triple
T9686770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 栗田 健男 |
E234428
|
entity |
| Predicate | notableCommandType |
P89627
|
FINISHED |
| Object | surface fleet |
—
|
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: surface fleet | Statement: [栗田 健男, notableCommandType, surface fleet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCommandType Context triple: [栗田 健男, notableCommandType, surface fleet]
-
A.
notableOperationType
Indicates that an entity is associated with a specific type or category of operation that is considered notable or significant.
-
B.
notableTargetType
Indicates that the subject is notable or significant specifically in relation to entities of the given target type.
-
C.
notableMode
Indicates that the subject is recognized for or distinguished by the specified mode, manner, or method of operation or expression.
-
D.
notableSystem
Indicates that a system is recognized as significant, prominent, or noteworthy in a particular context or domain.
-
E.
notableMovementType
Indicates the type or category of significant movement or motion associated with an entity.
- F. None of above. chosen
Provenance (4 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9cd2dab481908e0d3fed28de9d40 |
completed | April 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:17 p.m.