Triple
T330049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadillac Escalade |
E6605
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | GM K2XX platform |
E7699
|
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: GM K2XX platform | Statement: [Cadillac Escalade, platform, GM K2XX platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GM K2XX platform Context triple: [Cadillac Escalade, platform, GM K2XX platform]
-
A.
GMT K2XX
chosen
GMT K2XX is General Motors' full-size truck and SUV platform that underpins vehicles like the Chevrolet Silverado and GMC Sierra.
-
B.
General Motors commercial vehicle platforms
General Motors commercial vehicle platforms are the underlying truck and van architectures and technologies developed by GM that serve as the basis for a wide range of commercial and specialized vehicles.
-
C.
G.826x
G.826x is an ITU-T standards series that defines methods and requirements for packet-based frequency and time synchronization in telecommunications networks.
-
D.
GMC
GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
-
E.
GMC
GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaaeb64881909c7ab9bca3378e2b |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cff160788190a49faad3c011965e |
completed | March 1, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.