Triple
T10248160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isuzu D-Max |
E240271
|
entity |
| Predicate | cabStyle |
P65309
|
FINISHED |
| Object | single cab |
—
|
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: single cab | Statement: [Isuzu D-Max, cabStyle, single cab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabStyle Context triple: [Isuzu D-Max, cabStyle, single cab]
-
A.
carriageType
Indicates the specific kind or category of carriage associated with or used in relation to an entity.
-
B.
transitStyle
Indicates the manner or mode in which something is transported or conveyed from one place to another.
-
C.
hasCabType
chosen
Indicates that an entity is associated with or characterized by a specific type or category of cab.
-
D.
naveStyle
Indicates the architectural style or design type applied specifically to the nave portion of a building or structure.
-
E.
carBodyStyle
Indicates the specific body configuration or design style that characterizes a car (e.g., sedan, hatchback, SUV).
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:27 a.m.