Triple

T4752989
Position Surface form Disambiguated ID Type / Status
Subject Province of Asti E105520 entity
Predicate knownFor P22 FINISHED
Object Moscato d’Asti E151241 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: Moscato d’Asti | Statement: [Province of Asti, knownFor, Moscato d’Asti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscato d’Asti
Context triple: [Province of Asti, knownFor, Moscato d’Asti]
  • A. Moscato d’Asti chosen
    Moscato d’Asti is a lightly sparkling, sweet Italian white wine made from Moscato Bianco grapes, renowned for its low alcohol content and aromatic notes of peach, apricot, and orange blossom.
  • B. Asti Spumante
    Asti Spumante is a sweet, sparkling Italian white wine made primarily from Moscato Bianco grapes in the Asti region of Piedmont.
  • C. Bardolino
    Bardolino is a picturesque Italian town in the Veneto region, renowned for its lakeside setting on Lake Garda and its namesake red wine.
  • D. 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.
  • E. Malvasía wine
    Malvasía wine is a distinctive, often sweet white wine made from Malvasia grapes, traditionally produced in various Mediterranean and Atlantic regions.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e5fba88190b1f28d1b0eed3f8e completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43b54f548190b6118305d2a9f8d4 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:20 p.m.