Triple
T20634444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VR38DETT |
E507040
|
entity |
| Predicate | intercooler |
P21444
|
FINISHED |
| Object | air-to-air intercooler |
—
|
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: air-to-air intercooler | Statement: [VR38DETT, intercooler, air-to-air intercooler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intercooler Context triple: [VR38DETT, intercooler, air-to-air intercooler]
-
A.
turbochargerType
Indicates the specific kind or classification of turbocharger associated with an engine or system.
-
B.
airIntakeType
chosen
Indicates the type or configuration of the system or mechanism used to draw air into an engine or device.
-
C.
airIntakeIntegration
Indicates how an air intake component is incorporated or connected into a larger system or assembly.
-
D.
coolant
Indicates that one entity functions as a coolant for another, serving to absorb and remove heat from it.
-
E.
intake
Indicates the act of taking something in or consuming it, such as food, drink, or other substances, into a system or organism.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0e5fc481909e4f0dd7fb1203fc |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 16, 2026, 11:42 a.m.