Triple
T22183253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belvedere 21 |
E548225
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Belvedere |
—
|
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: Belvedere | Statement: [Belvedere 21, operator, Belvedere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belvedere Context triple: [Belvedere 21, operator, Belvedere]
-
A.
Belvedere
Belvedere is a premium Polish vodka brand known for its luxury positioning and high-quality production, owned by the French conglomerate LVMH.
-
B.
Belvedere
Belvedere is a suburban district in the London Borough of Bexley known for its residential character and proximity to the River Thames in southeast London.
-
C.
Belvedere
Belvedere is a mountain locality in the Italian Alps known as a scenic high-altitude destination accessible by the Funivia Pecetto–Belvedere cable car.
-
D.
Belvedere
Belvedere is a small rural settlement in New Zealand’s Carterton District, known for its agricultural surroundings and close-knit community.
-
E.
Belvedere
chosen
Belvedere is a historic baroque palace complex and art museum in Vienna, Austria, renowned for its extensive collection of Austrian art, including works by Gustav Klimt.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa687808190b9959d4e91db948a |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.