Triple

T6653747
Position Surface form Disambiguated ID Type / Status
Subject Langhe E150888 entity
Predicate producesWineStyle P2082 FINISHED
Object Dolcetto d'Alba DOC E156601 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: Dolcetto d'Alba DOC | Statement: [Langhe, producesWineStyle, Dolcetto d'Alba DOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolcetto d'Alba DOC
Context triple: [Langhe, producesWineStyle, Dolcetto d'Alba DOC]
  • A. Dolcetto chosen
    Dolcetto is a dark-skinned Italian wine grape variety from Piedmont known for producing soft, fruity, early-drinking red wines with low acidity and gentle tannins.
  • B. Barbaresco
    Barbaresco is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its elegance, aromatic complexity, and long aging potential.
  • C. Negrar di Valpolicella
    Negrar di Valpolicella is a municipality in Italy’s Veneto region, renowned for its vineyards and production of Valpolicella wines.
  • D. Bardolino
    Bardolino is a picturesque Italian town in the Veneto region, renowned for its lakeside setting on Lake Garda and its namesake red wine.
  • E. Barbera d'Alba DOC
    Barbera d'Alba DOC is an Italian red wine appellation from Piedmont, known for its vibrant acidity, red fruit flavors, and versatility at the table.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b047eb688190bca86be98ac25e39 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79817f08190a9e499f09b25e67a completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:01 p.m.