Triple
T1929556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLT |
E40911
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | GMC SUVs |
E11255
|
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: GMC SUVs | Statement: [SLT, associatedWith, GMC SUVs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMC SUVs Context triple: [SLT, associatedWith, GMC SUVs]
-
A.
Chevrolet SUVs
Chevrolet SUVs are a line of sport utility vehicles produced by Chevrolet, known for their spacious interiors, towing capability, and availability of powerful V8 engines.
-
B.
GMC
GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
-
C.
GMC
GMC is the commonly used abbreviation for the Great Midwest Conference, a former NCAA collegiate athletic conference in the United States.
-
D.
GMC
chosen
GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
-
E.
GMC Terrain
The GMC Terrain is a compact crossover SUV known for its upscale styling, comfortable ride, and family-friendly practicality within GMC’s lineup.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb266dcb4819090be83556615d0db |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58b843a081908c49ebb944d872d6 |
completed | March 9, 2026, 5:20 a.m. |
Created at: March 4, 2026, 7:35 p.m.