Triple

T19316309
Position Surface form Disambiguated ID Type / Status
Subject Alba E483105 entity
Predicate hasSpecialtyProduct P3585 FINISHED
Object Barbaresco wine 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: Barbaresco wine | Statement: [Alba, hasSpecialtyProduct, Barbaresco wine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbaresco wine
Context triple: [Alba, hasSpecialtyProduct, Barbaresco wine]
  • A. Barbaresco chosen
    Barbaresco is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its elegance, aromatic complexity, and long aging potential.
  • B. Dolcetto
    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.
  • C. Barolo
    Barolo is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its powerful structure, complex aromas, and long aging potential.
  • D. Roero DOCG
    Roero DOCG is a prestigious Italian appellation in Piedmont known for its elegant Nebbiolo-based reds and aromatic Arneis white wines.
  • E. Lambrusco wine
    Lambrusco wine is a lightly sparkling Italian red wine, typically fruity and refreshing, traditionally produced in the Emilia-Romagna region.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d843640819089ff3738aae29eb1 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.