Triple

T629400
Position Surface form Disambiguated ID Type / Status
Subject Madeira E15891 entity
Predicate knownFor P22 FINISHED
Object Madeira wine E15891 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: Madeira wine | Statement: [Madeira, knownFor, Madeira wine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeira wine
Context triple: [Madeira, knownFor, Madeira wine]
  • A. Manzanilla sherry
    Manzanilla sherry is a pale, dry style of fino sherry uniquely aged under flor yeast by the sea in Sanlúcar de Barrameda, giving it a distinctive light, salty character.
  • B. Marsala
    Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
  • C. Sauternes
    Sauternes is a renowned sweet white wine appellation in southwestern France, famous for its botrytized wines made primarily from Sémillon and Sauvignon Blanc grapes.
  • D. Madeira chosen
    Madeira is a Portuguese archipelago in the North Atlantic Ocean known for its rugged volcanic landscapes, mild subtropical climate, and namesake fortified wine.
  • E. Champagne
    Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec051bc8190b3e3f8651a367d77 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56938be6481909a8eba01f5d856c1 completed March 2, 2026, 10:40 a.m.
Created at: March 1, 2026, 7:35 p.m.