Triple
T14608627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLAR platform |
E342897
|
entity |
| Predicate | usedInModel |
P25490
|
FINISHED |
| Object | BMW i7 (G70) |
E66610
|
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 i7 (G70) | Statement: [CLAR platform, usedInModel, BMW i7 (G70)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW i7 (G70) Context triple: [CLAR platform, usedInModel, BMW i7 (G70)]
-
A.
BMW 7 Series
chosen
The BMW 7 Series is BMW’s flagship full-size luxury sedan line, known for its advanced technology, comfort, and performance.
-
B.
BMW 700
The BMW 700 is a compact rear-engined car produced by BMW from 1959 to 1965 that played a crucial role in saving the company financially and paving the way for its later success.
-
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 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.
-
E.
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.
- 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_69fdd5c9a6748190878efa4970ce2b04 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.