Triple
T3802013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxus |
E91709
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Maxus G10 |
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 G10 | Statement: [Maxus, hasModel, Maxus G10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxus G10 Context triple: [Maxus, hasModel, Maxus G10]
-
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.
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.
-
C.
BYD Tang
The BYD Tang is a mid-size crossover SUV from Chinese automaker BYD, best known for its plug-in hybrid and electric variants that offer strong performance and competitive range.
-
D.
Wuling Cortez
The Wuling Cortez is a compact multi-purpose vehicle (MPV) produced by SAIC-GM-Wuling for markets such as Indonesia, offering three-row seating and family-oriented practicality.
-
E.
BYD Han
The BYD Han is a flagship mid-size luxury sedan from Chinese automaker BYD, known for its advanced plug-in hybrid and electric powertrains and high-tech features.
- 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.