Triple
T13069903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G26 |
E329428
|
entity |
| Predicate | bodyStyle |
P2880
|
FINISHED |
| Object | Gran Coupé |
E342899
|
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: Gran Coupé | Statement: [G26, bodyStyle, Gran Coupé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gran Coupé Context triple: [G26, bodyStyle, Gran Coupé]
-
A.
Gran Coupé
chosen
Gran Coupé is BMW’s four-door coupé body style, combining a sleek coupé silhouette with the practicality of additional doors and enhanced interior space.
-
B.
Maserati Grecale
The Maserati Grecale is a compact luxury SUV that combines Italian styling with high performance and advanced technology, positioned below the Levante in Maserati’s lineup.
-
C.
Magaro
Magaro is an Italian-origin surname most notably borne by American actor John Magaro.
-
D.
GLC Coupé
The GLC Coupé is a sportier, coupé-styled variant of Mercedes-Benz’s GLC SUV, combining elevated ride height with a sloping roofline and premium features.
-
E.
CLA Coupé
The CLA Coupé is a compact four-door coupé model from Mercedes-Benz known for its sleek, coupe-like styling and premium features.
- 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_69f6d60510dc81909e0cba8b63a50d9c |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9 p.m.