Triple
T21755278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jisaburo Ozawa |
E537020
|
entity |
| Predicate | typeOfCarrierCommand |
P95229
|
FINISHED |
| Object | aircraft carrier 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: aircraft carrier fleet | Statement: [Jisaburo Ozawa, typeOfCarrierCommand, aircraft carrier fleet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCarrierCommand Context triple: [Jisaburo Ozawa, typeOfCarrierCommand, aircraft carrier fleet]
-
A.
typeOfCommand
Indicates that one entity is a specific kind or category of command in relation to another entity.
-
B.
typeOfUnitCommanded
chosen
Indicates the specific type or category of military or organizational unit that an entity is in command of.
-
C.
commandType
Indicates the specific kind or category of command being issued or executed in the relationship.
-
D.
supportsCargoType
Indicates that one entity is capable of handling, transporting, or accommodating a specified type of cargo.
-
E.
basedOnCarrierType
Indicates that something is determined or defined according to the type or category of carrier involved.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8d6d0081908e0ccfbccea58895 |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.