Triple
T712489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android Automotive OS |
E14239
|
entity |
| Predicate | firstAdopters |
P19789
|
FINISHED |
| Object | Polestar |
E83041
|
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: Polestar | Statement: [Android Automotive OS, firstAdopters, Polestar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polestar Context triple: [Android Automotive OS, firstAdopters, Polestar]
-
A.
Volvo Cars
chosen
Volvo Cars is a Swedish automotive manufacturer known for its focus on safety, practical design, and premium vehicles.
-
B.
Bugatti Rimac
Bugatti Rimac is a high-performance automotive joint venture combining Bugatti’s heritage of luxury hypercars with Rimac’s cutting-edge electric powertrain technology.
-
C.
Saab Kockums
Saab Kockums is a Swedish shipyard and defense company best known for designing and building advanced submarines and naval vessels.
-
D.
BMW iX
The BMW iX is a fully electric luxury SUV that showcases BMW’s latest advancements in electric powertrains, connectivity, and driver-assistance technology.
-
E.
BYD Auto
BYD Auto is a major Chinese automobile manufacturer best known for its electric and hybrid vehicles and rapid global expansion in the new energy vehicle market.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aa9a1dcc81908bdb7b960765fde5 |
completed | March 1, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a63757e5848190b7c11820f67b20a7 |
completed | March 3, 2026, 1:20 a.m. |
Created at: March 1, 2026, 7:36 p.m.