Triple
T33613744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulcan to the Sky Trust |
E861057
|
entity |
| Predicate | aircraftEngineTypePreserved |
P38991
|
FINISHED |
| Object | turbojet-powered bomber |
—
|
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-powered bomber | Statement: [Vulcan to the Sky Trust, aircraftEngineTypePreserved, turbojet-powered bomber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftEngineTypePreserved Context triple: [Vulcan to the Sky Trust, aircraftEngineTypePreserved, turbojet-powered bomber]
-
A.
aircraftEngineType
chosen
Indicates the specific type or classification of engine that an aircraft uses.
-
B.
aircraftEngineTypeProduced
Indicates that a particular type of aircraft engine is manufactured or produced by a specified entity.
-
C.
aircraftPowerplantType
Indicates the type or category of powerplant (e.g., engine or propulsion system) used by an aircraft.
-
D.
notableAircraftEngine
Indicates that an aircraft engine holds particular significance or prominence, such as historical importance, exceptional performance, or widespread recognition.
-
E.
aircraftTypeMaintained
Indicates that a maintenance entity performs or is responsible for maintaining a specific type of 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:41 a.m.