Triple
T1749955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratt & Whitney F117-PW-100 |
E38416
|
entity |
| Predicate | numberOfEnginesPerAircraft |
P3542
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Pratt & Whitney F117-PW-100, numberOfEnginesPerAircraft, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEnginesPerAircraft Context triple: [Pratt & Whitney F117-PW-100, numberOfEnginesPerAircraft, 4]
-
A.
numberOfEngines
chosen
Indicates the quantity of engines associated with or used by an entity.
-
B.
wingMountedEngines
Indicates that the engines of an aircraft are mounted on its wings rather than on other parts of the airframe.
-
C.
aircraftEngineTypeProduced
Indicates that a particular type of aircraft engine is manufactured or produced by a specified entity.
-
D.
notableAircraftPowered
Indicates that an aircraft is notably powered or propelled by a specified engine, powerplant, or propulsion system.
-
E.
numberOfPlanes
Indicates the quantity of planes associated with or involved in a given entity or situation.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.