Triple

T13762735
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Venice E330653 entity
Predicate contains P35 FINISHED
Object Cavarzere E1032343 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: Cavarzere | Statement: [Metropolitan City of Venice, contains, Cavarzere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavarzere
Context triple: [Metropolitan City of Venice, contains, Cavarzere]
  • A. Cavarzere chosen
    Cavarzere is a town in northeastern Italy known for its agricultural landscape and location near the lower course of the Adige River.
  • B. Schio
    Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
  • C. Montichiari
    Montichiari is a town in northern Italy known for its historic center, medieval castle, and location in the Lombardy region near Brescia.
  • D. Cavriago
    Cavriago is a small Italian municipality in the Emilia-Romagna region, known for its strong left-wing political tradition and distinctive monument to Vladimir Lenin.
  • E. Vezzola
    Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeefd61c81908d189237af45467a completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:10 p.m.