Triple
T14608619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLAR platform |
E342897
|
entity |
| Predicate | usedInModel |
P25490
|
FINISHED |
| Object | BMW X3 (G01) |
E395826
|
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 X3 (G01) | Statement: [CLAR platform, usedInModel, BMW X3 (G01)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW X3 (G01) Context triple: [CLAR platform, usedInModel, BMW X3 (G01)]
-
A.
BMW X3
chosen
The BMW X3 is a compact luxury crossover SUV known for its sporty driving dynamics, premium interior, and advanced technology features.
-
B.
BMW X1
The BMW X1 is a compact luxury crossover SUV known for its premium interior, sporty driving dynamics, and position as an entry-level model in BMW’s SUV lineup.
-
C.
BMW X5
The BMW X5 is a mid-size luxury SUV known for combining strong performance, advanced technology, and upscale comfort in BMW’s X-series lineup.
-
D.
BMW X3 M
The BMW X3 M is a high-performance compact luxury SUV engineered by BMW’s M division, featuring sport-tuned dynamics and powerful engines.
-
E.
BMW 3 Series
The BMW 3 Series is a line of compact executive cars renowned for its sporty handling, premium build quality, and status as one of BMW’s most popular and influential models.
- 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.