Triple

T12314864
Position Surface form Disambiguated ID Type / Status
Subject Abbey Wood E293573 entity
Predicate locatedNear P294 FINISHED
Object Belvedere E392983 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 | Statement: [Abbey Wood, locatedNear, Belvedere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belvedere
Context triple: [Abbey Wood, locatedNear, Belvedere]
  • A. Belvedere chosen
    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.
  • B. Belvedere
    Belvedere is an affluent, scenic waterfront city in Marin County, California, known for its views of San Francisco Bay and upscale residential character.
  • C. Belvedere
    Belvedere is a premium Polish vodka brand known for its luxury positioning and high-quality production, owned by the French conglomerate LVMH.
  • D. Belvedere
    Belvedere is a famous lithograph print by M. C. Escher that depicts an impossible three-dimensional building constructed with paradoxical architectural elements.
  • E. Belvedere
    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 (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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f05186481909c024a933b4f6c60 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e86d45881909a9a3c09df0b78f1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.