Triple
T3831819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG Motor |
E91029
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | MG ZS EV |
E91031
|
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: MG ZS EV | Statement: [MG Motor, notableModel, MG ZS EV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MG ZS EV Context triple: [MG Motor, notableModel, MG ZS EV]
-
A.
MG ZS
chosen
The MG ZS is a compact crossover SUV produced under the MG marque, known for its value-focused pricing, practical interior, and popularity in markets such as the UK, Europe, and Asia.
-
B.
BYD Qin
BYD Qin is a popular Chinese plug-in hybrid compact sedan known for its strong performance, high fuel efficiency, and role in advancing BYD Auto’s new energy vehicle lineup.
-
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.
BYD Dolphin
The BYD Dolphin is a compact all-electric hatchback from Chinese automaker BYD, known for its affordability, modern design, and efficient urban-friendly range.
-
E.
BMW i4
The BMW i4 is an all-electric compact executive sedan that combines BMW’s performance-oriented driving dynamics with zero-emission powertrains and modern, tech-focused interiors.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8787bc8190819a7af975b609df |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503fcddb481909690b708754d3d8a |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.