Triple
T3006519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Colorado platform |
E81914
|
entity |
| Predicate | underpins |
P3636
|
FINISHED |
| Object | Isuzu D-Max |
E240271
|
NE 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: Isuzu D-Max | Statement: [Chevrolet Colorado platform, underpins, Isuzu D-Max]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isuzu D-Max Context triple: [Chevrolet Colorado platform, underpins, Isuzu D-Max]
-
A.
Isuzu D-Max
chosen
The Isuzu D-Max is a popular mid-size pickup truck known for its durability, strong diesel engines, and widespread use in both commercial and personal applications worldwide.
-
B.
Nissan Navara
The Nissan Navara is a mid-size pickup truck known for its durability, off-road capability, and popularity in global markets for both work and recreational use.
-
C.
Toyota Hilux
The Toyota Hilux is a globally popular, highly durable pickup truck renowned for its reliability and off-road capability.
-
D.
Isuzu MU-X
The Isuzu MU-X is a mid-size SUV produced by Japanese automaker Isuzu, known for its rugged body-on-frame construction and strong diesel engine options.
-
E.
Nissan Patrol
The Nissan Patrol is a large, rugged SUV renowned for its off-road capability and long-standing use as a durable 4x4 in markets worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a48f0888190bdec150dac623851 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e5b35e48190a9319a545d041ccc |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 3 p.m.