Triple
T21188264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Quick Reaction Alert (South) |
E522141
|
entity |
| Predicate | typicalSortieType |
P22637
|
FINISHED |
| Object | intercept mission |
—
|
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: intercept mission | Statement: [UK Quick Reaction Alert (South), typicalSortieType, intercept mission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSortieType Context triple: [UK Quick Reaction Alert (South), typicalSortieType, intercept mission]
-
A.
typicalAircraftTypeCategory
Indicates the general class or category of aircraft type that is most commonly associated with or used in a given context.
-
B.
approximateSorties
Indicates an estimated or rough count of sorties (missions or flights) rather than an exact, precise number.
-
C.
fighterType
Indicates the specific combat or fighting style category that an entity belongs to.
-
D.
dailySorties
Indicates the number of missions or operations carried out per day by an entity.
-
E.
typeOfMission
chosen
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
- 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.