Triple
T9044549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Kodiak |
E216720
|
entity |
| Predicate | soldAs |
P17320
|
FINISHED |
| Object |
C6500
C6500 is a medium-duty truck model designation used by Chevrolet for certain versions of its Kodiak commercial trucks.
|
E775954
|
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: C6500 | Statement: [Chevrolet Kodiak, soldAs, C6500]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C6500 Context triple: [Chevrolet Kodiak, soldAs, C6500]
-
A.
C5500
C5500 is a medium-duty commercial truck model in Chevrolet’s Kodiak series, commonly used for vocational and fleet applications.
-
B.
C8500
C8500 is a heavy-duty commercial truck model designation used by Chevrolet for certain versions of its Kodiak medium-duty truck line.
-
C.
C7500
The C7500 is a medium-duty commercial truck model in the Chevrolet Kodiak/GMC TopKick series, commonly used for vocational applications like delivery, construction, and utility services.
-
D.
TriCore
TriCore is a 32-bit microcontroller CPU architecture developed by Infineon that combines RISC, DSP, and microcontroller features for real-time embedded applications.
-
E.
Texas Instruments Explorer II
The Texas Instruments Explorer II was a second-generation Lisp machine workstation designed for AI research and symbolic processing in the late 1980s.
- 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: C6500 Triple: [Chevrolet Kodiak, soldAs, C6500]
Generated description
C6500 is a medium-duty truck model designation used by Chevrolet for certain versions of its Kodiak commercial trucks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: C6500 Target entity description: C6500 is a medium-duty truck model designation used by Chevrolet for certain versions of its Kodiak commercial trucks.
-
A.
C5500
C5500 is a medium-duty commercial truck model in Chevrolet’s Kodiak series, commonly used for vocational and fleet applications.
-
B.
C8500
C8500 is a heavy-duty commercial truck model designation used by Chevrolet for certain versions of its Kodiak medium-duty truck line.
-
C.
C7500
The C7500 is a medium-duty commercial truck model in the Chevrolet Kodiak/GMC TopKick series, commonly used for vocational applications like delivery, construction, and utility services.
-
D.
TriCore
TriCore is a 32-bit microcontroller CPU architecture developed by Infineon that combines RISC, DSP, and microcontroller features for real-time embedded applications.
-
E.
Texas Instruments Explorer II
The Texas Instruments Explorer II was a second-generation Lisp machine workstation designed for AI research and symbolic processing in the late 1980s.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b137cec8190bd1b812c10d9542a |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdb868e48190b9d193025cb5b9a2 |
completed | April 3, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69d000d2c5688190b014ce33c04ff875 |
completed | April 3, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d001a1056c819083793547dbd4b1ee |
completed | April 3, 2026, 6:06 p.m. |
Created at: March 30, 2026, 7:09 p.m.