Triple
T24137973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce BR715 |
E598141
|
entity |
| Predicate | turbineStageCount |
P15530
|
FINISHED |
| Object | 2-stage high-pressure turbine |
—
|
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: 2-stage high-pressure turbine | Statement: [Rolls-Royce BR715, turbineStageCount, 2-stage high-pressure turbine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turbineStageCount Context triple: [Rolls-Royce BR715, turbineStageCount, 2-stage high-pressure turbine]
-
A.
turbineStages
chosen
Indicates the number or configuration of sequential stages within a turbine through which working fluid passes to extract energy.
-
B.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
C.
numberOfFirstStageEngines
Indicates the quantity of engines used in the first stage of a multi-stage system or vehicle.
-
D.
numberOfTurbines
Indicates the quantity of turbines associated with a given entity or installation.
-
E.
combustionChamberCount
Indicates the number of combustion chambers associated with an engine or combustion system.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7e3c20819099ff289789829d7e |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:27 p.m.