Triple
T21188255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Quick Reaction Alert (South) |
E522141
|
entity |
| Predicate | typicalAircraftRole |
P2860
|
FINISHED |
| Object | air defence 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: air defence fighter | Statement: [UK Quick Reaction Alert (South), typicalAircraftRole, air defence fighter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAircraftRole Context triple: [UK Quick Reaction Alert (South), typicalAircraftRole, air defence fighter]
-
A.
primaryAircraftRole
chosen
Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
-
B.
basedAircraftRole
Indicates that an aircraft is regularly stationed at a particular location in a specified operational role or function.
-
C.
notableAircraftRole
Indicates that an aircraft is notably associated with performing a particular role or function.
-
D.
aircraftRoleSpecialization
Indicates that one aircraft role is a more specific, specialized form of another, more general aircraft role.
-
E.
aircraftRoleSupported
Indicates that a given role or function is supported or enabled for a particular aircraft.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333403448190bcd9cc0805e414b5 |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:07 p.m.