Triple

T20159276
Position Surface form Disambiguated ID Type / Status
Subject Old Vine E491660 entity
Predicate cultivar P8128 FINISHED
Object Žametovka
Žametovka is an ancient Slovenian red wine grape variety, best known as the vine of the world’s oldest still-producing grapevine in Maribor.
 E1415499 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: Žametovka | Statement: [Old Vine, cultivar, Žametovka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Žametovka
Context triple: [Old Vine, cultivar, Žametovka]
  • A. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • B. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • C. Šumice
    Šumice is a residential neighborhood and park area in Belgrade, Serbia, known for its green spaces and sports facilities within the municipality of Voždovac.
  • D. Kamenice
    Kamenice is a river flowing through the scenic sandstone gorges and forests of Bohemian Switzerland in the Czech Republic.
  • E. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • 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: Žametovka
Triple: [Old Vine, cultivar, Žametovka]
Generated description
Žametovka is an ancient Slovenian red wine grape variety, best known as the vine of the world’s oldest still-producing grapevine in Maribor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Žametovka
Target entity description: Žametovka is an ancient Slovenian red wine grape variety, best known as the vine of the world’s oldest still-producing grapevine in Maribor.
  • A. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • B. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • C. Šumice
    Šumice is a residential neighborhood and park area in Belgrade, Serbia, known for its green spaces and sports facilities within the municipality of Voždovac.
  • D. Kamenice
    Kamenice is a river flowing through the scenic sandstone gorges and forests of Bohemian Switzerland in the Czech Republic.
  • E. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e27aa88190a326288b992ea274 completed April 20, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083478c328819094ecdf00149a17b6 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a0838867cb081908580ab9594653018 completed May 16, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_6a083965207c8190babe799e5d45f913 completed May 16, 2026, 9:31 a.m.
Created at: April 11, 2026, 11:34 p.m.