Triple
T812027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyundai Kona Electric |
E17565
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | Kona EV |
E17565
|
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: Kona EV | Statement: [Hyundai Kona Electric, marketedAs, Kona EV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kona EV Context triple: [Hyundai Kona Electric, marketedAs, Kona EV]
-
A.
Hyundai Kona Electric
chosen
The Hyundai Kona Electric is a subcompact all-electric crossover SUV known for its practical range, compact size, and affordability in the mainstream EV market.
-
B.
Chevrolet Bolt EV
The Chevrolet Bolt EV is a compact all-electric hatchback known for its relatively long driving range, affordability, and role in popularizing mainstream electric vehicles in North America.
-
C.
Nissan Leaf
The Nissan Leaf is a mass-market all-electric compact hatchback known for pioneering affordable zero-emission driving.
-
D.
Ford Model e
Ford Model e is Ford Motor Company's dedicated division focused on developing and producing electric and connected vehicles.
-
E.
BMW i3
The BMW i3 is a compact, all-electric city car known for its distinctive design, lightweight carbon-fiber construction, and focus on sustainable urban mobility.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab4c7418819085cb64c6bf5fa70c |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7928d2ee8819091dbef1dd5272f6f |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.