Triple

T7756321
Position Surface form Disambiguated ID Type / Status
Subject Muscat E175905 entity
Predicate hasSynonym P3575 FINISHED
Object Moscato E602065 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 | Statement: [Muscat, hasSynonym, Moscato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscato
Context triple: [Muscat, hasSynonym, Moscato]
  • A. Moscato d’Asti
    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. Moscato Bianco chosen
    Moscato Bianco is an aromatic white wine grape variety, prized for its intense floral and fruity character and widely used in producing sweet, lightly sparkling Italian wines.
  • C. Marsala
    Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
  • D. Moscatel de Alejandría
    Moscatel de Alejandría is an ancient, aromatic white grape variety widely used for both sweet and dry wines as well as table grapes in Mediterranean and Latin American wine regions.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703db54c08190a6feb548adef929f completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7cb9e608190bfe62bf37b485fe9 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:08 p.m.