Triple
T20491557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratt & Whitney R-4360 Wasp Major |
E502756
|
entity |
| Predicate | typicalPropeller |
P17498
|
FINISHED |
| Object | four-bladed constant-speed propeller |
—
|
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: four-bladed constant-speed propeller | Statement: [Pratt & Whitney R-4360 Wasp Major, typicalPropeller, four-bladed constant-speed propeller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPropeller Context triple: [Pratt & Whitney R-4360 Wasp Major, typicalPropeller, four-bladed constant-speed propeller]
-
A.
propellerType
chosen
Indicates the specific kind or classification of propeller associated with an entity.
-
B.
propellerBlades
Indicates that something has propeller blades as a component or feature.
-
C.
propellerBladesPerPropeller
Indicates the number of blades associated with each individual propeller.
-
D.
hasPropeller
Indicates that an entity is equipped with or possesses a propeller as a functional component.
-
E.
numberOfPropellers
Indicates the quantity of propellers that an entity possesses or uses.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cba5b708190bef437acf6321b81 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.