Triple
T98135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Silverado |
E1978
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object |
GMT800
GMT800 is General Motors' full-size truck and SUV platform introduced in the late 1990s, underpinning vehicles like the Chevrolet Silverado and GMC Sierra.
|
E7698
|
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: GMT800 | Statement: [Chevrolet Silverado, platform, GMT800]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMT800 Context triple: [Chevrolet Silverado, platform, GMT800]
-
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.
Moscow Time
Moscow Time is the standard time zone used in Moscow and much of western Russia, corresponding to UTC+3 year-round.
-
C.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
D.
Georgia Standard Time
Georgia Standard Time is the time zone used throughout the country of Georgia, set at UTC+4 with no daylight saving time.
-
E.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
- 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: GMT800 Triple: [Chevrolet Silverado, platform, GMT800]
Generated description
GMT800 is General Motors' full-size truck and SUV platform introduced in the late 1990s, underpinning vehicles like the Chevrolet Silverado and GMC Sierra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GMT800 Target entity description: GMT800 is General Motors' full-size truck and SUV platform introduced in the late 1990s, underpinning vehicles like the Chevrolet Silverado and GMC Sierra.
-
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.
Moscow Time
Moscow Time is the standard time zone used in Moscow and much of western Russia, corresponding to UTC+3 year-round.
-
C.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
D.
Georgia Standard Time
Georgia Standard Time is the time zone used throughout the country of Georgia, set at UTC+4 with no daylight saving time.
-
E.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
- 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.