Triple
T98137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Silverado |
E1978
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object |
GMT K2XX
GMT K2XX is General Motors' full-size truck and SUV platform that underpins vehicles like the Chevrolet Silverado and GMC Sierra.
|
E7699
|
NE FINISHED |
How this triple was built (4 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: GMT K2XX | Statement: [Chevrolet Silverado, platform, GMT K2XX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMT K2XX Context triple: [Chevrolet Silverado, platform, GMT K2XX]
-
A.
Kt
Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
-
B.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
C.
KG
KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
-
D.
Voyager KC2
Voyager KC2 is an Airbus A330-based multi-role tanker transport aircraft used by the Royal Air Force for air-to-air refuelling and strategic airlift operations.
-
E.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GMT K2XX Triple: [Chevrolet Silverado, platform, GMT K2XX]
Generated description
GMT K2XX is General Motors' full-size truck and SUV platform that underpins vehicles like the Chevrolet Silverado and GMC Sierra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GMT K2XX Target entity description: GMT K2XX is General Motors' full-size truck and SUV platform that underpins vehicles like the Chevrolet Silverado and GMC Sierra.
-
A.
Kt
Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
-
B.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
C.
KG
KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
-
D.
Voyager KC2
Voyager KC2 is an Airbus A330-based multi-role tanker transport aircraft used by the Royal Air Force for air-to-air refuelling and strategic airlift operations.
-
E.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
- F. None of above. chosen
Provenance (5 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24ff07d148190a59aee12c807659d |
completed | Feb. 28, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a262474440819093e075d5a009ee53 |
completed | Feb. 28, 2026, 3:34 a.m. |
| NEDg | Description generation | batch_69a262bf70e481909ec36e209f7f0a79 |
completed | Feb. 28, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2633ee14c8190bfc1a09ebf9e4efc |
completed | Feb. 28, 2026, 3:38 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.