Triple
T33957976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACMAT |
E870632
|
entity |
| Predicate | vehicleDriveConfiguration |
P4169
|
FINISHED |
| Object | 4x4 |
—
|
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: 4x4 | Statement: [ACMAT, vehicleDriveConfiguration, 4x4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleDriveConfiguration Context triple: [ACMAT, vehicleDriveConfiguration, 4x4]
-
A.
driveAssistFeature
Indicates that one entity provides an assistance feature that helps another entity perform driving-related tasks.
-
B.
hasCarConfiguration
Indicates that an entity is associated with a specific car configuration, detailing how the car is set up or specified.
-
C.
drivingScheme
Indicates the method, pattern, or set of rules by which driving behavior or vehicle operation is organized or carried out.
-
D.
driveType
chosen
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
E.
driveModes
Indicates that an entity (such as a vehicle or device) supports or operates in one or more specific driving or operational modes.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:49 a.m.