Triple
T9119554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2.5L Duratec inline-4 |
E218808
|
entity |
| Predicate | valvetrainControl |
P87197
|
FINISHED |
| Object | variable valve timing on intake cam (in many applications) |
—
|
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: variable valve timing on intake cam (in many applications) | Statement: [2.5L Duratec inline-4, valvetrainControl, variable valve timing on intake cam (in many applications)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valvetrainControl Context triple: [2.5L Duratec inline-4, valvetrainControl, variable valve timing on intake cam (in many applications)]
-
A.
valveGear
Indicates that one entity is the valve gear mechanism used to control the operation of another entity, typically an engine or similar machine.
-
B.
valvesPerCylinder
Indicates the number of valves associated with each individual cylinder in an engine.
-
C.
valveCount
Indicates the number of valves associated with an entity, such as a device, system, or component.
-
D.
valveType
Indicates the specific kind or category of valve associated with an entity or connection.
-
E.
powertrainProduction
Indicates a relationship where an entity is involved in the manufacturing or assembly of a vehicle’s powertrain components.
- F. None of above. chosen
Provenance (4 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a902e08190a7eb4728f32b9e1d |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:17 p.m.