Triple
T12584865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Air IV GTO |
E300429
|
entity |
| Predicate | factoryRatedTorqueRPM |
P95477
|
FINISHED |
| Object | 3900 rpm |
—
|
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: 3900 rpm | Statement: [Ram Air IV GTO, factoryRatedTorqueRPM, 3900 rpm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: factoryRatedTorqueRPM Context triple: [Ram Air IV GTO, factoryRatedTorqueRPM, 3900 rpm]
-
A.
maximumTorqueRpm
chosen
Indicates the engine speed, in revolutions per minute, at which the maximum torque is produced.
-
B.
powerOutputRpm
Indicates the relationship between a system’s power output and the rotational speed (in revolutions per minute) at which that power is produced.
-
C.
torque
Indicates a rotational force applied by one entity on another around a pivot or axis.
-
D.
maximumTorque
Indicates the greatest amount of torque that can be produced, transmitted, or withstood in the specified context.
-
E.
maximumRPM
Indicates the highest rotational speed, in revolutions per minute, that an entity is designed or allowed to operate at.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:04 p.m.