Triple
T8350021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B1 |
E196135
|
entity |
| Predicate | modelName |
P8607
|
FINISHED |
| Object | Passat |
E38524
|
NE FINISHED |
How this triple was built (2 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: Passat | Statement: [B1, modelName, Passat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passat Context triple: [B1, modelName, Passat]
-
A.
Volkswagen Passat
chosen
The Volkswagen Passat is a long-running mid-size family car known for its practical design, comfortable ride, and strong presence in global markets.
-
B.
Volkswagen Golf
The Volkswagen Golf is a compact car that has become one of the world’s best-selling and most influential hatchbacks since its introduction in the 1970s.
-
C.
Volkswagen Jetta
The Volkswagen Jetta is a compact sedan produced by the German automaker Volkswagen, known for offering a practical blend of comfort, efficiency, and European driving dynamics.
-
D.
Volkswagen Polo
The Volkswagen Polo is a popular German-made supermini car known for its solid build quality, efficient engines, and practical everyday usability.
-
E.
Volkswagen Scirocco
The Volkswagen Scirocco is a sporty compact coupé produced by Volkswagen, known for its sleek design and performance-oriented character derived from the Golf platform.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cb80181ca48190bbf2e6a6aae80d69 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1cfe284081909410e023c44c7472 |
completed | April 2, 2026, 7:38 a.m. |
Created at: March 30, 2026, 5:59 p.m.