Triple
T98138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Silverado |
E1978
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object |
GMT T1XX
GMT T1XX is General Motors' full-size truck and SUV platform underpinning the latest generation of vehicles like the Chevrolet Silverado.
|
E7700
|
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 T1XX | Statement: [Chevrolet Silverado, platform, GMT T1XX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMT T1XX Context triple: [Chevrolet Silverado, platform, GMT T1XX]
-
A.
GMT
GMT (Greenwich Mean Time) is the mean solar time at the Royal Observatory in Greenwich, London, historically used as the international civil time standard and the basis for modern time zones.
-
B.
Terminal 1
Terminal 1 is one of the main passenger terminals at Ronald Reagan Washington National Airport, serving various domestic airline operations and traveler services.
-
C.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
-
D.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
E.
Moscow Time
Moscow Time is the standard time zone used in Moscow and much of western Russia, corresponding to UTC+3 year-round.
- 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 T1XX Triple: [Chevrolet Silverado, platform, GMT T1XX]
Generated description
GMT T1XX is General Motors' full-size truck and SUV platform underpinning the latest generation of vehicles like the Chevrolet Silverado.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GMT T1XX Target entity description: GMT T1XX is General Motors' full-size truck and SUV platform underpinning the latest generation of vehicles like the Chevrolet Silverado.
-
A.
GMT
GMT (Greenwich Mean Time) is the mean solar time at the Royal Observatory in Greenwich, London, historically used as the international civil time standard and the basis for modern time zones.
-
B.
Terminal 1
Terminal 1 is one of the main passenger terminals at Ronald Reagan Washington National Airport, serving various domestic airline operations and traveler services.
-
C.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
-
D.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
E.
Moscow Time
Moscow Time is the standard time zone used in Moscow and much of western Russia, corresponding to UTC+3 year-round.
- 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.