Triple
T3294387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW iX |
E69176
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | BMW iX xDrive50 |
E69176
|
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: BMW iX xDrive50 | Statement: [BMW iX, hasVariant, BMW iX xDrive50]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW iX xDrive50 Context triple: [BMW iX, hasVariant, BMW iX xDrive50]
-
A.
BMW iX
chosen
The BMW iX is a fully electric luxury SUV that showcases BMW’s latest advancements in electric powertrains, connectivity, and driver-assistance technology.
-
B.
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.
-
C.
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.
-
D.
BMW i8
The BMW i8 is a plug-in hybrid sports car that combines futuristic design with advanced lightweight construction and performance-oriented efficiency.
-
E.
BMW X7
The BMW X7 is a full-size luxury SUV that serves as BMW’s flagship utility vehicle, offering three-row seating, premium features, and powerful performance.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07661748190bf57469e101c5283 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bb385f48190a67051e8681fa64d |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:10 p.m.