Triple

T12550425
Position Surface form Disambiguated ID Type / Status
Subject Naousa E300081 entity
Predicate primaryGrapeVariety P975 FINISHED
Object Xinomavro E480655 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: Xinomavro | Statement: [Naousa, primaryGrapeVariety, Xinomavro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xinomavro
Context triple: [Naousa, primaryGrapeVariety, Xinomavro]
  • A. Xinomavro chosen
    Xinomavro is a prominent Greek red wine grape variety, especially known for producing complex, age-worthy wines with high acidity and tannins, often compared to Nebbiolo.
  • B. Tsolikouri grapes
    Tsolikouri grapes are a white Georgian grape variety known for producing fresh, aromatic wines with balanced acidity, particularly in the Imereti region.
  • C. Griechischer Wein
    Griechischer Wein is a popular German schlager song by Udo Jürgens that nostalgically portrays Greek culture and the experiences of Greek guest workers in Germany.
  • D. Viognier
    Viognier is a white wine grape variety known for producing aromatic, full-bodied wines with notes of stone fruit, floral aromas, and rich texture.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95482c1348190b6f964decef5cc0a completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb538388190b9fb78306fbab2f3 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:58 p.m.