Triple
T5821169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landstraße |
E129110
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Belvedere complex |
E548223
|
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: Belvedere complex | Statement: [Landstraße, knownFor, Belvedere complex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belvedere complex Context triple: [Landstraße, knownFor, Belvedere complex]
-
A.
Belvedere Palace
Belvedere Palace is a historic Baroque palace complex in Weimar, Germany, known for its elegant architecture and landscaped gardens.
-
B.
Belvedere
Belvedere is a premium Polish vodka brand known for its luxury positioning and high-quality production, owned by the French conglomerate LVMH.
-
C.
Belvedere
Belvedere is an affluent, scenic waterfront city in Marin County, California, known for its views of San Francisco Bay and upscale residential character.
-
D.
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.
-
E.
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.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c033e7403881908f5e3fe40183865a |
completed | March 22, 2026, 6:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0e85cbc8190ad75d4a8246fbe43 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:53 p.m.