Triple
T8350242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Passat B7 |
E196139
|
entity |
| Predicate | trimLevelOption |
P55815
|
FINISHED |
| Object |
Comfortline
Comfortline is a mid-range equipment and comfort-focused trim level offered on the Volkswagen Passat B7.
|
E727425
|
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: Comfortline | Statement: [Volkswagen Passat B7, trimLevelOption, Comfortline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comfortline Context triple: [Volkswagen Passat B7, trimLevelOption, Comfortline]
-
A.
Hyntone
Hyntone is a variant or alternative form of the name Hinton, typically used as a surname or place name.
-
B.
Carrigan
Carrigan is a surname of Irish origin borne by various notable individuals, including athletes, entertainers, and public figures.
-
C.
EverLine
EverLine is an automated light rail transit line serving the city of Yongin in the Seoul Capital Area, connecting local districts to the broader Seoul Metropolitan Subway network.
-
D.
Graco
Graco is a well-known manufacturer of baby products and juvenile gear, including strollers, car seats, and high chairs.
-
E.
City Line
City Line is a suburban railway route serving various districts within Cardiff, Wales, as part of the local commuter rail network.
- 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: Comfortline Triple: [Volkswagen Passat B7, trimLevelOption, Comfortline]
Generated description
Comfortline is a mid-range equipment and comfort-focused trim level offered on the Volkswagen Passat B7.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Comfortline Target entity description: Comfortline is a mid-range equipment and comfort-focused trim level offered on the Volkswagen Passat B7.
-
A.
Hyntone
Hyntone is a variant or alternative form of the name Hinton, typically used as a surname or place name.
-
B.
Carrigan
Carrigan is a surname of Irish origin borne by various notable individuals, including athletes, entertainers, and public figures.
-
C.
EverLine
EverLine is an automated light rail transit line serving the city of Yongin in the Seoul Capital Area, connecting local districts to the broader Seoul Metropolitan Subway network.
-
D.
Graco
Graco is a well-known manufacturer of baby products and juvenile gear, including strollers, car seats, and high chairs.
-
E.
City Line
City Line is a suburban railway route serving various districts within Cardiff, Wales, as part of the local commuter rail network.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cbd120a1ec8190a8dc101fa1371780 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc74e11f881908b52d0ffea751c96 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc86626c8190a4206feedea24b41 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcde02e088190be8220f7d18d6700 |
completed | April 2, 2026, 2:01 a.m. |
Created at: March 30, 2026, 5:59 p.m.