Triple

T20846337
Position Surface form Disambiguated ID Type / Status
Subject Ajka District E513234 entity
Predicate containsSettlement P847 FINISHED
Object Kisberzseny
Kisberzseny is a small village in Veszprém County in western Hungary.
E1477008 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: Kisberzseny | Statement: [Ajka District, containsSettlement, Kisberzseny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kisberzseny
Context triple: [Ajka District, containsSettlement, Kisberzseny]
  • A. Kőszeg
    Kőszeg is a historic Hungarian town near the Austrian border, renowned for its well-preserved medieval architecture and role in defending against Ottoman sieges.
  • B. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • C. Jászberény
    Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
  • D. Köveskál
    Köveskál is a small village in Hungary’s Veszprém County, known for its picturesque setting near Lake Balaton and its role in the Balaton Uplands wine and tourism region.
  • E. Szécsény
    Szécsény is a historic town in northern Hungary known for its medieval architecture and role as a regional center in Nógrád County.
  • 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: Kisberzseny
Triple: [Ajka District, containsSettlement, Kisberzseny]
Generated description
Kisberzseny is a small village in Veszprém County in western Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kisberzseny
Target entity description: Kisberzseny is a small village in Veszprém County in western Hungary.
  • A. Kőszeg
    Kőszeg is a historic Hungarian town near the Austrian border, renowned for its well-preserved medieval architecture and role in defending against Ottoman sieges.
  • B. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • C. Jászberény
    Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
  • D. Köveskál
    Köveskál is a small village in Hungary’s Veszprém County, known for its picturesque setting near Lake Balaton and its role in the Balaton Uplands wine and tourism region.
  • E. Szécsény
    Szécsény is a historic town in northern Hungary known for its medieval architecture and role as a regional center in Nógrád County.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34ffb588190881953a0480b29a8 completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ebc2e508190b17c3237830c06e8 completed May 17, 2026, 10:55 a.m.
NEDg Description generation batch_6a099f8c4a5c8190a67b3185fe8a02ad completed May 17, 2026, 10:59 a.m.
NED2 Entity disambiguation (via description) batch_6a099ffeb4b88190b2859b55ba356e22 completed May 17, 2026, 11:01 a.m.
Created at: April 16, 2026, 12:43 p.m.