Triple
T14608626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLAR platform |
E342897
|
entity |
| Predicate | usedInModel |
P25490
|
FINISHED |
| Object | BMW i5 (G60) |
E382854
|
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 i5 (G60) | Statement: [CLAR platform, usedInModel, BMW i5 (G60)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW i5 (G60) Context triple: [CLAR platform, usedInModel, BMW i5 (G60)]
-
A.
BMW i5
chosen
The BMW i5 is a fully electric executive sedan from BMW’s 5 Series lineup, offering premium performance, advanced technology, and zero-emission driving.
-
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 M135i
The BMW M135i is a high-performance hot hatchback that combines a powerful turbocharged engine with sport-tuned handling and premium features.
-
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.
BMW G29
The BMW G29 is the third-generation BMW Z4 roadster, featuring a soft-top convertible roof, rear-wheel drive, and modern performance and technology updates.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44d327c8190a8d20568429d0f80 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94d09e988190a2a2a1332397b412 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.