Triple
T3802018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxus |
E91709
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Maxus E Deliver 9 |
E91709
|
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: Maxus E Deliver 9 | Statement: [Maxus, hasModel, Maxus E Deliver 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxus E Deliver 9 Context triple: [Maxus, hasModel, Maxus E Deliver 9]
-
A.
Maxus
chosen
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
-
B.
RATTLR electric delivery van
The RATTLR electric delivery van is an all-electric commercial vehicle developed by AM General for efficient, low-emission urban cargo transport.
-
C.
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.
-
D.
Mercedes-Benz EQV
The Mercedes-Benz EQV is a fully electric premium multi-purpose vehicle (MPV) that combines the spacious practicality of the V-Class with zero-emission battery-electric drive.
-
E.
Peugeot Expert
The Peugeot Expert is a light commercial van produced by the French automaker Peugeot, commonly used for cargo and passenger transport in European markets.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7b998c08190b252178cd7436951 |
completed | March 9, 2026, 3:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb270b008190bbd87cbddacb7204 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:15 p.m.