Triple
T24292678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 6 Flying Training School RAF |
E605866
|
entity |
| Predicate | aircrewTypeTrained |
P60836
|
FINISHED |
| Object | potential RAF pilots |
—
|
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: potential RAF pilots | Statement: [No. 6 Flying Training School RAF, aircrewTypeTrained, potential RAF pilots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircrewTypeTrained Context triple: [No. 6 Flying Training School RAF, aircrewTypeTrained, potential RAF pilots]
-
A.
hasFixedWingTrainingRole
Indicates that an entity serves in a training capacity specifically related to the operation or use of fixed-wing aircraft.
-
B.
hasFlightTrainingActivity
chosen
Indicates that an entity is involved in or associated with a flight training activity.
-
C.
hasHelicopterTrainingRole
Indicates that an entity holds a role or position specifically related to the training or instruction of helicopter operations.
-
D.
airborneQualified
Indicates that an entity has successfully completed airborne training and is certified or qualified to conduct airborne (parachute) operations.
-
E.
hasHelicopterTrainingFields
Indicates that an entity provides or includes designated fields or facilities specifically used for helicopter training activities.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f29157840c81908da157e93ad21527 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.