Triple
T7769312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 141 Squadron RAF |
E179028
|
entity |
| Predicate | notableAircraftFeature |
P65000
|
FINISHED |
| Object | turret-armed fighter |
—
|
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: turret-armed fighter | Statement: [No. 141 Squadron RAF, notableAircraftFeature, turret-armed fighter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAircraftFeature Context triple: [No. 141 Squadron RAF, notableAircraftFeature, turret-armed fighter]
-
A.
referredAircraftNotableFeature
chosen
Indicates that a referenced aircraft is associated with a notable or distinguishing feature.
-
B.
notableAircraftUsed
Indicates that an entity is known for using, operating, or being associated with a particular aircraft in a notable or significant way.
-
C.
notableAircraftRole
Indicates that an aircraft is notably associated with performing a particular role or function.
-
D.
notableAircraftPowered
Indicates that an aircraft is notably powered or propelled by a specified engine, powerplant, or propulsion system.
-
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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:11 p.m.