Triple
T1256154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Kemble |
E26996
|
entity |
| Predicate | notableAircraftActivity |
P7787
|
FINISHED |
| Object | jet trainer operations |
—
|
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: jet trainer operations | Statement: [RAF Kemble, notableAircraftActivity, jet trainer operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAircraftActivity Context triple: [RAF Kemble, notableAircraftActivity, jet trainer operations]
-
A.
aviationUsage
chosen
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
B.
notableAirOperation
Indicates that there is a significant or historically important air operation associated with the subject.
-
C.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
D.
airTraffic
Indicates the movement and flow of aircraft through airspace, including their routes, density, and interactions while in flight.
-
E.
dailySorties
Indicates the number of missions or operations carried out per day by an entity.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bfa726548190911b4022dc1be3c3 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.