Triple

T20846300
Position Surface form Disambiguated ID Type / Status
Subject Balatonalmádi District E513233 entity
Predicate hasSettlement P1068 FINISHED
Object Királyszentistván
Királyszentistván is a small village in Veszprém County in western Hungary, situated near Lake Balaton.
 E1474142 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: Királyszentistván | Statement: [Balatonalmádi District, hasSettlement, Királyszentistván]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Királyszentistván
Context triple: [Balatonalmádi District, hasSettlement, Királyszentistván]
  • A. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • B. Kiskőrös
    Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
  • C. 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.
  • D. Harkány
    Harkány is a Hungarian spa town in southern Transdanubia renowned for its medicinal thermal baths and health tourism.
  • E. Nagykálló
    Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
  • 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: Királyszentistván
Triple: [Balatonalmádi District, hasSettlement, Királyszentistván]
Generated description
Királyszentistván is a small village in Veszprém County in western Hungary, situated near Lake Balaton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Királyszentistván
Target entity description: Királyszentistván is a small village in Veszprém County in western Hungary, situated near Lake Balaton.
  • A. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • B. Kiskőrös
    Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
  • C. 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.
  • D. Harkány
    Harkány is a Hungarian spa town in southern Transdanubia renowned for its medicinal thermal baths and health tourism.
  • E. Nagykálló
    Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
  • 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_6a098fdefa888190aafb6e5399c42600 completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a09909abc9c8190a9b49468a7a63858 completed May 17, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_6a099118ceb08190a58a7072cb2dd1e4 completed May 17, 2026, 9:57 a.m.
Created at: April 16, 2026, 12:43 p.m.