Triple
T317683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMC Sierra |
E7742
|
entity |
| Predicate | hasTrimLevel |
P2393
|
FINISHED |
| Object |
Denali
Denali is GMC’s premium luxury trim line, known for adding upscale features, refined styling, and advanced technology to its vehicles.
|
E47655
|
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: Denali | Statement: [GMC Sierra, hasTrimLevel, Denali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denali Context triple: [GMC Sierra, hasTrimLevel, Denali]
-
A.
Denali
Denali is the tallest mountain in North America, a prominent peak in the Alaska Range known for its extreme elevation and challenging climbing conditions.
-
B.
Mount Bachelor
Mount Bachelor is a prominent volcanic peak in central Oregon known for its large ski resort and extensive winter recreation opportunities.
-
C.
Mount Whitney
Mount Whitney is the tallest mountain in the contiguous United States, located in the Sierra Nevada range of eastern California.
-
D.
Wheeler Peak
Wheeler Peak is the highest and most prominent mountain in Nevada, known for its alpine scenery and ancient bristlecone pine groves within Great Basin National Park.
-
E.
Elbert
Elbert is a masculine given name of English origin, historically borne by figures such as American lawyer and steel industry executive Elbert H. Gary.
- 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: Denali Triple: [GMC Sierra, hasTrimLevel, Denali]
Generated description
Denali is GMC’s premium luxury trim line, known for adding upscale features, refined styling, and advanced technology to its vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denali Target entity description: Denali is GMC’s premium luxury trim line, known for adding upscale features, refined styling, and advanced technology to its vehicles.
-
A.
Denali
Denali is the tallest mountain in North America, a prominent peak in the Alaska Range known for its extreme elevation and challenging climbing conditions.
-
B.
Mount Bachelor
Mount Bachelor is a prominent volcanic peak in central Oregon known for its large ski resort and extensive winter recreation opportunities.
-
C.
Mount Whitney
Mount Whitney is the tallest mountain in the contiguous United States, located in the Sierra Nevada range of eastern California.
-
D.
Wheeler Peak
Wheeler Peak is the highest and most prominent mountain in Nevada, known for its alpine scenery and ancient bristlecone pine groves within Great Basin National Park.
-
E.
Elbert
Elbert is a masculine given name of English origin, historically borne by figures such as American lawyer and steel industry executive Elbert H. Gary.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee016c408190beab4009653524db |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f4d55d70819099ae6f963e3ed5a0 |
completed | March 1, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_69a3f6292ff48190a0b8b6866951ed9a |
completed | March 1, 2026, 8:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3f68dabdc81908719b51503df370b |
completed | March 1, 2026, 8:19 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.