Triple
T16179551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG TC |
E392649
|
entity |
| Predicate | spareWheelLocation |
P122014
|
FINISHED |
| Object | externally mounted at the rear |
—
|
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: externally mounted at the rear | Statement: [MG TC, spareWheelLocation, externally mounted at the rear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spareWheelLocation Context triple: [MG TC, spareWheelLocation, externally mounted at the rear]
-
A.
isOnRearPlate
Indicates that one entity is positioned on or attached to the rear plate of another entity.
-
B.
wheelbase
Indicates the distance between the centers of the front and rear wheels of a vehicle.
-
C.
suspensionRear
Indicates that the relationship or action involves the rear suspension component or system of an object, typically a vehicle.
-
D.
wheelType
Indicates the specific kind or category of wheel associated with an entity.
-
E.
powertrainLocation
Indicates the physical placement or mounting position of a vehicle’s powertrain relative to the rest of the vehicle.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205b88b481908ecdd8d663dc668b |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.