Triple
T33924777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackburn Buccaneer (testbed) |
E869717
|
entity |
| Predicate | hasJetEngineTypeTested |
P20916
|
FINISHED |
| Object | turbojet |
—
|
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: turbojet | Statement: [Blackburn Buccaneer (testbed), hasJetEngineTypeTested, turbojet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJetEngineTypeTested Context triple: [Blackburn Buccaneer (testbed), hasJetEngineTypeTested, turbojet]
-
A.
hasJetType
Indicates that an entity is associated with or characterized by a specific type or category of jet.
-
B.
hasJet
Indicates that an entity possesses, operates, or is equipped with a jet aircraft.
-
C.
testedEngineType
chosen
Indicates that an engine of a specified type has been subjected to a test or evaluation.
-
D.
aircraftEngineType
Indicates the specific type or classification of engine that an aircraft uses.
-
E.
propulsionTypeTested
Indicates that a specific type of propulsion has been subjected to testing or experimental evaluation.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.