Triple

T10025077
Position Surface form Disambiguated ID Type / Status
Subject Prosecco Hills of Conegliano and Valdobbiadene E200703 entity
Predicate contains P35 FINISHED
Object Valdobbiadene E795413 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: Valdobbiadene | Statement: [Prosecco Hills of Conegliano and Valdobbiadene, contains, Valdobbiadene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdobbiadene
Context triple: [Prosecco Hills of Conegliano and Valdobbiadene, contains, Valdobbiadene]
  • A. Valdobbiadene chosen
    Valdobbiadene is an Italian town in the Veneto region renowned as one of the principal production areas for Prosecco wine.
  • B. Albignasego
    Albignasego is a municipality in the Veneto region of northern Italy, situated just south of the city of Padua.
  • C. Tavagnacco
    Tavagnacco is a municipality in the Friuli-Venezia Giulia region of northeastern Italy, near Udine.
  • D. Caldogno
    Caldogno is a small town in the Veneto region of northern Italy, best known as the birthplace of legendary footballer Roberto Baggio.
  • E. Caldiero
    Caldiero is a town in the Veneto region of northern Italy, historically notable as the site of several Napoleonic-era battles.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7d9c9c81909a0a0917deed0973 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a17359081908c3ef7df819c74f9 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:53 p.m.