Triple
T29757489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rex |
E753068
|
entity |
| Predicate | operatorOfSubjectAircraft |
P130576
|
FINISHED |
| Object | Imperial Japanese Navy Air Service |
—
|
NE NERFINISHED |
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: Imperial Japanese Navy Air Service | Statement: [Rex, operatorOfSubjectAircraft, Imperial Japanese Navy Air Service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorOfSubjectAircraft Context triple: [Rex, operatorOfSubjectAircraft, Imperial Japanese Navy Air Service]
-
A.
operatorOfReferencedAircraft
chosen
Indicates that one entity serves as the operator (e.g., managing or controlling party) of an aircraft that is referenced elsewhere in the context.
-
B.
formerOperatorOfAircraft
Indicates that an entity previously operated a particular aircraft but no longer does so.
-
C.
operatesAircraftFor
Indicates that one entity pilots or controls an aircraft on behalf of, or in service to, another entity.
-
D.
aircraftCommanded
Indicates that one entity serves as the commanding officer or leader in charge of operating, directing, or overseeing the other entity, which is an aircraft.
-
E.
aircraftOperationType
Indicates the specific manner or purpose for which an aircraft is being operated (e.g., commercial, private, military, training).
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff255b84788190a94682f4efe1d0b8 |
completed | May 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
Created at: April 28, 2026, 7:57 p.m.