Triple

T21509562
Position Surface form Disambiguated ID Type / Status
Subject Alazani Valley vineyards E530680 entity
Predicate grapeVarieties P33546 FINISHED
Object Saperavi 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: Saperavi | Statement: [Alazani Valley vineyards, grapeVarieties, Saperavi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saperavi
Context triple: [Alazani Valley vineyards, grapeVarieties, Saperavi]
  • A. Saperavi chosen
    Saperavi is a dark-skinned Georgian wine grape variety, renowned for producing deeply colored, full-bodied red wines with high acidity and strong aging potential.
  • B. Ambrogino
    Ambrogino is an Italian given name, typically a diminutive form of Ambrogio, used as a male first name.
  • C. Verdello
    Verdello is a white grape variety traditionally used in central Italian wines, particularly contributing fresh, subtly aromatic character to blends from the Orvieto region.
  • D. Parlandino
    Parlandino is the commonly used abbreviated name for the Andean Parliament, the legislative body of the Andean Community of Nations.
  • E. Saffais
    Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea84042481909b43a7a4c5d2336a completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.