Triple
T26674004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 12th Flying Training Wing |
E672408
|
entity |
| Predicate | notableAircraftHistory |
P28676
|
FINISHED |
| Object | F-4 Phantom II |
—
|
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: F-4 Phantom II | Statement: [12th Flying Training Wing, notableAircraftHistory, F-4 Phantom II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAircraftHistory Context triple: [12th Flying Training Wing, notableAircraftHistory, F-4 Phantom II]
-
A.
notableAircraftTheater
Indicates that an aircraft is notably associated with operations or service in a particular theater of activity or conflict.
-
B.
notableAircraftProduced
Indicates that the subject entity has manufactured or been responsible for producing the specified aircraft, which are considered notable or significant.
-
C.
notableAircraftUsed
chosen
Indicates that an entity is known for using, operating, or being associated with a particular aircraft in a notable or significant way.
-
D.
historicalAircraftOperated
Indicates that an entity previously operated a specific aircraft model during a past period, but no longer does so.
-
E.
notableTransportAircraft
Indicates that the subject is a transport aircraft recognized for particular significance, such as historical importance, performance, or impact on aviation.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
Created at: April 27, 2026, 3:15 a.m.