Triple

T22837219
Position Surface form Disambiguated ID Type / Status
Subject bussolai buranelli biscuits E565979 entity
Predicate placeOfOrigin P3743 FINISHED
Object Burano 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: Burano | Statement: [bussolai buranelli biscuits, placeOfOrigin, Burano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burano
Context triple: [bussolai buranelli biscuits, placeOfOrigin, Burano]
  • A. Burano chosen
    Burano is a small, picturesque island in the Venetian Lagoon renowned for its brightly colored houses and traditional lace-making.
  • B. Murano
    Murano is an OpenStack project that provides an application catalog and orchestration framework for deploying and managing complex applications on OpenStack clouds.
  • C. Murano
    Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
  • D. Murano island
    Murano island is a Venetian island in Italy renowned worldwide for its centuries-old tradition of glassmaking and artisan glass workshops.
  • E. Lido di Venezia
    Lido di Venezia is a long, narrow barrier island in the Venetian Lagoon known for its beaches, luxury hotels, and hosting the Venice Film Festival.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e303cec81909c5c118dc8c93354 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.