Triple
T13069971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW xDrive |
E329429
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | BMW iX |
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 | Statement: [BMW xDrive, usedIn, BMW iX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW iX Context triple: [BMW xDrive, usedIn, BMW iX]
-
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 i5
The BMW i5 is a fully electric executive sedan from BMW’s 5 Series lineup, offering premium performance, advanced technology, and zero-emission driving.
-
D.
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.
-
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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ee6130819095d835e7ff6a8c5b |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e26e5d6881908663444bca67b01e |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9 p.m.