Triple
T20634284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venucia |
E507036
|
entity |
| Predicate | hasMake |
P26032
|
FINISHED |
| Object | Venucia T series |
—
|
NE NERFINISHED |
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: Venucia T series | Statement: [Venucia, hasMake, Venucia T series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venucia T series Context triple: [Venucia, hasMake, Venucia T series]
-
A.
Venucia e-series electric cars
Venucia e-series electric cars are a line of compact battery-electric vehicles produced by Nissan’s Chinese sub-brand Venucia, aimed at the domestic urban mobility market.
-
B.
Venucia
chosen
Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
-
C.
Avenio
Avenio is a low-floor tram and light rail vehicle platform developed by Siemens Mobility for urban public transportation systems worldwide.
-
D.
Caprice V
Caprice V is a higher-spec luxury trim level of the Holden Caprice (WM) full-size sedan, offering upgraded comfort, technology, and styling features.
-
E.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0e5fc481909e4f0dd7fb1203fc |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.