Triple

T19944945
Position Surface form Disambiguated ID Type / Status
Subject Vynohradiv E479398 entity
Predicate hasAlternativeName P39 FINISHED
Object Nagyszőlős
Nagyszőlős is the Hungarian name for the town of Vynohradiv in western Ukraine’s Zakarpattia region, near the Hungarian border.
 E1403232 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: Nagyszőlős | Statement: [Vynohradiv, hasAlternativeName, Nagyszőlős]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nagyszőlős
Context triple: [Vynohradiv, hasAlternativeName, Nagyszőlős]
  • A. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • B. Nagykálló
    Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
  • C. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • D. Nagycsarnok
    Nagycsarnok is Budapest’s largest and most famous indoor market hall, renowned for its grand architecture and bustling stalls selling fresh produce, local foods, and Hungarian specialties.
  • E. Nagytétény
    Nagytétény is a historic neighborhood in the southern part of Budapest known for its suburban character and notable landmarks such as the Nagytétény Castle.
  • 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: Nagyszőlős
Triple: [Vynohradiv, hasAlternativeName, Nagyszőlős]
Generated description
Nagyszőlős is the Hungarian name for the town of Vynohradiv in western Ukraine’s Zakarpattia region, near the Hungarian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nagyszőlős
Target entity description: Nagyszőlős is the Hungarian name for the town of Vynohradiv in western Ukraine’s Zakarpattia region, near the Hungarian border.
  • A. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • B. Nagykálló
    Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
  • C. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • D. Nagycsarnok
    Nagycsarnok is Budapest’s largest and most famous indoor market hall, renowned for its grand architecture and bustling stalls selling fresh produce, local foods, and Hungarian specialties.
  • E. Nagytétény
    Nagytétény is a historic neighborhood in the southern part of Budapest known for its suburban character and notable landmarks such as the Nagytétény Castle.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6654f481908089e1d66e17e024 completed April 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6f0c82081908dd0ba4110cec45e completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f97b5b94819087241ecc97e6583f completed May 16, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a07f9dec2c48190bd18c2f24a87f335 completed May 16, 2026, 5 a.m.
Created at: April 10, 2026, 1:54 p.m.