Triple

T5334222
Position Surface form Disambiguated ID Type / Status
Subject Veszprém County E123785 entity
Predicate containsTown P847 FINISHED
Object Várpalota
Várpalota is a town in western Hungary known for its historical castle and industrial heritage.
 E524547 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: Várpalota | Statement: [Veszprém County, containsTown, Várpalota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Várpalota
Context triple: [Veszprém County, containsTown, Várpalota]
  • A. Budavár
    Budavár is the historic Buda Castle quarter of Budapest, known for its medieval streets, royal palace complex, and panoramic views over the Danube.
  • B. Bory-vár
    Bory-vár is an eclectic, fairy-tale-like castle in Székesfehérvár, Hungary, designed and built over decades by sculptor and architect Jenő Bory as both a romantic residence and a monumental work of art.
  • C. Gyulafehérvár
    Gyulafehérvár, known today as Alba Iulia in Romania, is a historic city that served as the political and cultural center of Transylvania for centuries.
  • D. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • E. Esztergom
    Esztergom is a historic Hungarian city on the Danube River that served as an early royal capital and remains a major religious and cultural center.
  • 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: Várpalota
Triple: [Veszprém County, containsTown, Várpalota]
Generated description
Várpalota is a town in western Hungary known for its historical castle and industrial heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Várpalota
Target entity description: Várpalota is a town in western Hungary known for its historical castle and industrial heritage.
  • A. Budavár
    Budavár is the historic Buda Castle quarter of Budapest, known for its medieval streets, royal palace complex, and panoramic views over the Danube.
  • B. Bory-vár
    Bory-vár is an eclectic, fairy-tale-like castle in Székesfehérvár, Hungary, designed and built over decades by sculptor and architect Jenő Bory as both a romantic residence and a monumental work of art.
  • C. Gyulafehérvár
    Gyulafehérvár, known today as Alba Iulia in Romania, is a historic city that served as the political and cultural center of Transylvania for centuries.
  • D. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • E. Esztergom
    Esztergom is a historic Hungarian city on the Danube River that served as an early royal capital and remains a major religious and cultural center.
  • 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_69bf77ac8e3c8190a846955a9eb65905 completed March 22, 2026, 5:01 a.m.
NEDg Description generation batch_69bf78c25b3481908303cdb81f827dee completed March 22, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69bf791598488190b9ed945bc69179e3 completed March 22, 2026, 5:07 a.m.
Created at: March 20, 2026, 2 p.m.