Triple

T22793158
Position Surface form Disambiguated ID Type / Status
Subject Klein-Venedig (Little Venice) E564166 entity
Predicate nickname P55 FINISHED
Object Little Venice — 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: Little Venice | Statement: [Klein-Venedig (Little Venice), nickname, Little Venice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Little Venice
Context triple: [Klein-Venedig (Little Venice), nickname, Little Venice]
  • A. Little Venice
    Little Venice is the picturesque canal-lined district of Colmar, France, known for its colorful half-timbered houses and romantic waterways.
  • B. Little Venice
    Little Venice is a picturesque Italian fishing town renowned for its canals, bridges, and colorful houses that evoke a smaller-scale version of Venice.
  • C. Little Venice
    Little Venice is the picturesque nickname for Puerto de Mogán, a charming Gran Canaria fishing village famed for its canals, flower-lined bridges, and colorful waterfront houses.
  • D. Little Venice
    Little Venice is the picturesque historic center of Chioggia in Italy, renowned for its canals, bridges, and Venetian-style architecture.
  • E. Little Venice chosen
    Little Venice is a picturesque canal-side district in West London known for its narrowboats, waterside cafes, and tranquil atmosphere near Paddington.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd751f081909c7907c96c9906ea completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.