Triple
T24810927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reynolds number |
E620784
|
entity |
| Predicate | typicalTurbulentThreshold |
P128272
|
FINISHED |
| Object | Re > 4000 for pipe flow |
—
|
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: Re > 4000 for pipe flow | Statement: [Reynolds number, typicalTurbulentThreshold, Re > 4000 for pipe flow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTurbulentThreshold Context triple: [Reynolds number, typicalTurbulentThreshold, Re > 4000 for pipe flow]
-
A.
ReynoldsNumberCapability
chosen
Indicates the ability or suitability of a system or context to be characterized, analyzed, or operated in terms of Reynolds number–based flow behavior.
-
B.
typicalTurbineType
Indicates the turbine type that is most commonly or characteristically used or found in association with a given entity or context.
-
C.
aircraftWakeTurbulenceCategory
Indicates the classification of an aircraft based on the strength of the wake turbulence it generates, typically used for separation and safety in air traffic control.
-
D.
typicalWindStrength
Indicates the usual or characteristic intensity of wind associated with something, such as a place, time, or condition.
-
E.
turbidityTolerance
Indicates the degree to which an entity can withstand or function effectively under conditions of turbid (cloudy or particle-laden) fluid or environment.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 18, 2026, 4:50 a.m.