Triple

T20816005
Position Surface form Disambiguated ID Type / Status
Subject Tapolca District E512438 entity
Predicate containsSettlement P847 FINISHED
Object Vindornyaszőlős
Vindornyaszőlős is a small village in western Hungary, located in Veszprém County within the Tapolca District.
E1455764 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: Vindornyaszőlős | Statement: [Tapolca District, containsSettlement, Vindornyaszőlős]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vindornyaszőlős
Context triple: [Tapolca District, containsSettlement, Vindornyaszőlős]
  • A. Zólyom
    Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
  • B. Nagyszőlős
    Nagyszőlős is the Hungarian name for the town of Vynohradiv in western Ukraine’s Zakarpattia region, near the Hungarian border.
  • C. Vászoly
    Vászoly is a small village in Hungary’s Veszprém County, near Lake Balaton, known for its rural charm and natural surroundings.
  • D. Dunakorzó
    Dunakorzó is a scenic riverside promenade along the Danube in central Budapest, known for its historic architecture, views of Buda Castle, and popular walking paths.
  • E. Tótkomlós
    Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
  • 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: Vindornyaszőlős
Triple: [Tapolca District, containsSettlement, Vindornyaszőlős]
Generated description
Vindornyaszőlős is a small village in western Hungary, located in Veszprém County within the Tapolca District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vindornyaszőlős
Target entity description: Vindornyaszőlős is a small village in western Hungary, located in Veszprém County within the Tapolca District.
  • A. Zólyom
    Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
  • B. Nagyszőlős
    Nagyszőlős is the Hungarian name for the town of Vynohradiv in western Ukraine’s Zakarpattia region, near the Hungarian border.
  • C. Vászoly
    Vászoly is a small village in Hungary’s Veszprém County, near Lake Balaton, known for its rural charm and natural surroundings.
  • D. Dunakorzó
    Dunakorzó is a scenic riverside promenade along the Danube in central Budapest, known for its historic architecture, views of Buda Castle, and popular walking paths.
  • E. Tótkomlós
    Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f3473c81908c43a2ec242b1acd completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09138bea448190853e3193cc033bb2 completed May 17, 2026, 1:02 a.m.
NEDg Description generation batch_6a0914ad125c8190bc629321ec2a3a1b completed May 17, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_6a09157461b4819096ab8d77b40f9c9a completed May 17, 2026, 1:10 a.m.
Created at: April 16, 2026, 12:41 p.m.