Triple

T7178501
Position Surface form Disambiguated ID Type / Status
Subject Napareuli E167380 entity
Predicate traditionalGrapeVariety P28269 FINISHED
Object Saperavi E144380 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: Saperavi | Statement: [Napareuli, traditionalGrapeVariety, Saperavi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saperavi
Context triple: [Napareuli, traditionalGrapeVariety, 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. Parlandino
    Parlandino is the commonly used abbreviated name for the Andean Parliament, the legislative body of the Andean Community of Nations.
  • C. Saffais
    Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
  • D. Orotelli
    Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
  • E. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8b8241081908edb5b5a5c35d4d3 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbdf32d48190a2d24914c3529160 completed March 28, 2026, 12:38 p.m.
Created at: March 27, 2026, 2:49 p.m.