Triple
T20103594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nettuno V6 |
E496609
|
entity |
| Predicate | placementInVehicle |
P120095
|
FINISHED |
| Object | mid-mounted (in MC20) |
—
|
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: mid-mounted (in MC20) | Statement: [Nettuno V6, placementInVehicle, mid-mounted (in MC20)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placementInVehicle Context triple: [Nettuno V6, placementInVehicle, mid-mounted (in MC20)]
-
A.
travelsInVehicle
Indicates that an entity is moving from one place to another while being transported inside or on a vehicle.
-
B.
locatedInTransportArea
Indicates that an entity is situated within a designated transport-related area or zone.
-
C.
hostVehicle
Indicates that one entity serves as the primary or reference vehicle in relation to another entity or context.
-
D.
usedInCar
chosen
Indicates that something is utilized as a component, feature, or element within a car.
-
E.
intendedVehicle
Indicates that one entity is the vehicle that another entity plans or is meant to use.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6667170a4819085d07a4188ded541 |
completed | April 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:27 p.m.