Triple
T7372409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 100 Squadron RAF |
E170039
|
entity |
| Predicate | aircraftTypeSpecialism |
P1524
|
FINISHED |
| Object | bomber aircraft |
—
|
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: bomber aircraft | Statement: [No. 100 Squadron RAF, aircraftTypeSpecialism, bomber aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftTypeSpecialism Context triple: [No. 100 Squadron RAF, aircraftTypeSpecialism, bomber aircraft]
-
A.
aircraftRoleSupported
Indicates that a given role or function is supported or enabled for a particular aircraft.
-
B.
aircraftType
chosen
Indicates the specific model or category of aircraft associated with an entity or event.
-
C.
usedByAircraftType
Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
-
D.
aircraftCapability
Indicates that an aircraft possesses a particular capability, function, or operational feature.
-
E.
servesAviationType
Indicates that one entity provides services or functions specifically for a particular type or category of 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f18451d88190ad4a2674279bb703 |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.