Triple

T5334209
Position Surface form Disambiguated ID Type / Status
Subject Veszprém County E123785 entity
Predicate containsTown P847 FINISHED
Object Devecser
Devecser is a small town in western Hungary known for its location in Veszprém County and for being affected by the 2010 Ajka alumina plant red sludge disaster.
 E515914 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: Devecser | Statement: [Veszprém County, containsTown, Devecser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Devecser
Context triple: [Veszprém County, containsTown, Devecser]
  • A. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • B. Komló
    Komló is a town in southern Hungary known historically for its coal mining and hop-growing industries.
  • C. Gödöllő
    Gödöllő is a Hungarian town near Budapest best known for its historic Royal Palace, one of the largest Baroque palaces in Hungary.
  • D. Sopron
    Sopron is a historic city in western Hungary near the Austrian border, known for its well-preserved medieval old town and wine-making traditions.
  • E. Sátoraljaújhely
    Sátoraljaújhely is a historic town in northeastern Hungary near the Slovak border, known for its wine region, cultural heritage, and scenic Zemplén Mountains setting.
  • 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: Devecser
Triple: [Veszprém County, containsTown, Devecser]
Generated description
Devecser is a small town in western Hungary known for its location in Veszprém County and for being affected by the 2010 Ajka alumina plant red sludge disaster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Devecser
Target entity description: Devecser is a small town in western Hungary known for its location in Veszprém County and for being affected by the 2010 Ajka alumina plant red sludge disaster.
  • A. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • B. Komló
    Komló is a town in southern Hungary known historically for its coal mining and hop-growing industries.
  • C. Gödöllő
    Gödöllő is a Hungarian town near Budapest best known for its historic Royal Palace, one of the largest Baroque palaces in Hungary.
  • D. Sopron
    Sopron is a historic city in western Hungary near the Austrian border, known for its well-preserved medieval old town and wine-making traditions.
  • E. Sátoraljaújhely
    Sátoraljaújhely is a historic town in northeastern Hungary near the Slovak border, known for its wine region, cultural heritage, and scenic Zemplén Mountains setting.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ae52c08190968a5567b7e6b794 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf290fc4448190ad9e9c5e880904a8 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2b0d51248190966a03f5940760a8 completed March 21, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69bf2b89caa88190b4effe23a67e4efb completed March 21, 2026, 11:36 p.m.
Created at: March 20, 2026, 2 p.m.