Triple

T20538751
Position Surface form Disambiguated ID Type / Status
Subject Mazzorbo E504269 entity
Predicate accessibleBy P1017 FINISHED
Object waterBusVaporetto 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: waterBusVaporetto | Statement: [Mazzorbo, accessibleBy, waterBusVaporetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: waterBusVaporetto
Context triple: [Mazzorbo, accessibleBy, waterBusVaporetto]
  • A. 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.
  • B. 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.
  • C. San Stae vaporetto stop
    San Stae vaporetto stop is a waterbus station on Venice’s Grand Canal serving the San Stae area in the Santa Croce district.
  • D. Vaporetto stop Arsenale
    Vaporetto stop Arsenale is a waterbus station in Venice that serves as a key public transport access point for the historic Arsenale shipyard area and the nearby eastern part of the city.
  • E. Brescia Metro
    Brescia Metro is a fully automated light metro system serving the city of Brescia in northern Italy.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a29006008190aa1ee3224c75ff4b completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.