Triple
T14608625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLAR platform |
E342897
|
entity |
| Predicate | usedInModel |
P25490
|
FINISHED |
| Object | BMW iX3 (G08) |
E1086850
|
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 iX3 (G08) | Statement: [CLAR platform, usedInModel, BMW iX3 (G08)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW iX3 (G08) Context triple: [CLAR platform, usedInModel, BMW iX3 (G08)]
-
A.
BMW iX3
chosen
The BMW iX3 is a fully electric compact luxury SUV that combines BMW’s traditional X3 design and driving dynamics with an all-electric powertrain.
-
B.
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.
-
C.
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.
-
D.
BMW iX1
The BMW iX1 is a compact all-electric SUV that serves as BMW’s entry-level battery-powered crossover in the premium segment.
-
E.
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.
- 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.