Triple

T20680883
Position Surface form Disambiguated ID Type / Status
Subject San Michele E508287 entity
Predicate servedBy P82 FINISHED
Object Venetian vaporetto 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: Venetian vaporetto | Statement: [San Michele, servedBy, Venetian vaporetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venetian vaporetto
Context triple: [San Michele, servedBy, Venetian vaporetto]
  • A. Venice vaporetto waterbus network
    The Venice vaporetto waterbus network is the city’s public waterborne transit system, using motorized boats along the canals and lagoon to connect key points such as railway stations, islands, and major attractions.
  • B. vaporetti chosen
    Vaporetti are Venice’s public water buses, motorized boats that serve as the main form of mass transit along the city’s canals.
  • C. Venetian Gondolas
    Venetian Gondolas are traditional, flat-bottomed Venetian rowing boats renowned for their elegant black hulls and use as iconic water taxis along the canals of Venice.
  • D. Gondola (steam yacht)
    Gondola is a restored 19th-century Victorian steam yacht that now carries passengers on scenic cruises on Coniston Water in England’s Lake District.
  • E. Ferry
    Ferry is a common French surname borne by various notable figures, including politicians such as Jules Ferry.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea655488190bab168d564d888af completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.