Triple
T7085892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratt & Whitney Canada PW127M |
E165074
|
entity |
| Predicate | powerClass |
P52649
|
FINISHED |
| Object | approximately 2,750 shp |
—
|
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: approximately 2,750 shp | Statement: [Pratt & Whitney Canada PW127M, powerClass, approximately 2,750 shp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerClass Context triple: [Pratt & Whitney Canada PW127M, powerClass, approximately 2,750 shp]
-
A.
powerClassBR
chosen
Indicates a relationship where one entity is classified or grouped according to its power-related category or level relative to another entity.
-
B.
powerRange
Indicates the range of power values within which an entity operates, applies, or is considered valid.
-
C.
vehiclePower
Indicates the amount or type of power a vehicle can produce or is rated to deliver.
-
D.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
E.
powerLevel
Indicates the degree or intensity of power or strength possessed by an entity in a given 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e512bda88190920ecb54b177e569 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.