Triple

T5821140
Position Surface form Disambiguated ID Type / Status
Subject Landstraße E129110 entity
Predicate contains P35 FINISHED
Object Lower Belvedere 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: Lower Belvedere | Statement: [Landstraße, contains, Lower Belvedere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lower Belvedere
Context triple: [Landstraße, contains, Lower Belvedere]
  • A. Upper Belvedere
    Upper Belvedere is a historic Baroque palace in Vienna, Austria, renowned for its grand architecture and its art museum housing works by Gustav Klimt and other prominent artists.
  • 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_69c0a188e5c08190abbc283eff193761 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:53 p.m.