Triple

T473745
Position Surface form Disambiguated ID Type / Status
Subject Racha-Lechkhumi E9014 entity
Predicate traditionalWineType P4038 FINISHED
Object Usakhelauri
Usakhelauri is a rare and highly prized Georgian red wine known for its natural sweetness, aromatic complexity, and limited production in the mountainous Racha region.
 E70523 NE FINISHED

How this triple was built (4 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: Usakhelauri | Statement: [Racha-Lechkhumi, traditionalWineType, Usakhelauri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Usakhelauri
Context triple: [Racha-Lechkhumi, traditionalWineType, Usakhelauri]
  • A. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • B. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • C. Noshaq
    Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
  • D. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • E. Schaumainkai
    Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Usakhelauri
Triple: [Racha-Lechkhumi, traditionalWineType, Usakhelauri]
Generated description
Usakhelauri is a rare and highly prized Georgian red wine known for its natural sweetness, aromatic complexity, and limited production in the mountainous Racha region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Usakhelauri
Target entity description: Usakhelauri is a rare and highly prized Georgian red wine known for its natural sweetness, aromatic complexity, and limited production in the mountainous Racha region.
  • A. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • B. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • C. Noshaq
    Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
  • D. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • E. Schaumainkai
    Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
  • F. None of above. chosen

Provenance (5 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0208c788190a96cdabcf593fda7 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ed30d578819091c6c1f4c5eba301 completed March 2, 2026, 1:51 a.m.
NEDg Description generation batch_69a4edbab33881909369a7fc81165cf4 completed March 2, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_69a4ee0f4e008190a9bdcc1ec93cefb3 completed March 2, 2026, 1:55 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.