Triple
T18869506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz GLC-Class |
E461529
|
entity |
| Predicate | bodyStyleVariant |
P27802
|
FINISHED |
| Object | GLC SUV |
—
|
NE NERFINISHED |
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: GLC SUV | Statement: [Mercedes-Benz GLC-Class, bodyStyleVariant, GLC SUV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GLC SUV Context triple: [Mercedes-Benz GLC-Class, bodyStyleVariant, GLC SUV]
-
A.
GLC Coupé
chosen
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.
-
B.
GLK
GLK is the IATA airport code for Galkayo Airport, which serves the city of Galkayo in central Somalia.
-
C.
Renault Alaskan
The Renault Alaskan is a mid-size pickup truck developed by Renault, based heavily on the Nissan Navara platform and aimed at both commercial and lifestyle markets.
-
D.
Mercedes-Benz GLK-Class
The Mercedes-Benz GLK-Class is a compact luxury SUV produced by the German automaker Mercedes-Benz, known for its boxy styling, premium interior, and all-wheel-drive capability.
-
E.
Nissan Juke
The Nissan Juke is a subcompact crossover SUV known for its distinctive, unconventional styling and sporty driving character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a7e1308190a1667d2d2d43df6c |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.