Triple
T25038445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whittle W.1 |
E627043
|
entity |
| Predicate | testAircraft |
P2541
|
FINISHED |
| Object | Gloster E.28/39 prototype |
—
|
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: Gloster E.28/39 prototype | Statement: [Whittle W.1, testAircraft, Gloster E.28/39 prototype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testAircraft Context triple: [Whittle W.1, testAircraft, Gloster E.28/39 prototype]
-
A.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
B.
testAircraftRole
Indicates that an aircraft is assigned or evaluated for a specific operational role or function.
-
C.
isProductionAircraft
Indicates that an aircraft is a standard, serially produced model rather than a prototype, experimental, or custom-built version.
-
D.
typeOfAviation
Indicates the specific category or kind of aviation to which an entity belongs (e.g., commercial, military, private).
-
E.
aircraft
chosen
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f45308d3148190bc24a7cdb570e866 |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:08 a.m.