Triple
T10293651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koenigsegg Agera R |
E241427
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Koenigsegg Automotive AB |
E735117
|
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: Koenigsegg Automotive AB | Statement: [Koenigsegg Agera R, manufacturer, Koenigsegg Automotive AB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koenigsegg Automotive AB Context triple: [Koenigsegg Agera R, manufacturer, Koenigsegg Automotive AB]
-
A.
Koenigsegg
chosen
Koenigsegg is a Swedish high-performance automotive manufacturer renowned for producing ultra-fast, technologically advanced hypercars.
-
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.
Bugatti Automobiles S.A.S.
Bugatti Automobiles S.A.S. is a French high-performance luxury automobile manufacturer renowned for producing some of the world’s fastest and most exclusive hypercars.
-
D.
Pagani
Pagani is a town in Italy’s Campania region, known for its religious traditions and location within the Province of Salerno.
-
E.
Polestar
Polestar is a Swedish automotive brand focused on high-performance electric vehicles and advanced automotive technology.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d46fb08190b7694290692e47dc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d1c180481909ca9983e14cbb931 |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:42 a.m.