Triple

T20846294
Position Surface form Disambiguated ID Type / Status
Subject Balatonalmádi District E513233 entity
Predicate hasSettlement P1068 FINISHED
Object Szentkirályszabadja
Szentkirályszabadja is a village in Veszprém County, Hungary, known for its former Soviet military air base and proximity to Lake Balaton.
E1453416 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: Szentkirályszabadja | Statement: [Balatonalmádi District, hasSettlement, Szentkirályszabadja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szentkirályszabadja
Context triple: [Balatonalmádi District, hasSettlement, Szentkirályszabadja]
  • A. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • B. 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.
  • C. Nagykálló
    Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
  • D. Füzesabony
    Füzesabony is a small town in northeastern Hungary known as a regional railway junction and gateway to the Bükk and Mátra regions.
  • E. Egerszalók
    Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
  • 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: Szentkirályszabadja
Triple: [Balatonalmádi District, hasSettlement, Szentkirályszabadja]
Generated description
Szentkirályszabadja is a village in Veszprém County, Hungary, known for its former Soviet military air base and proximity to Lake Balaton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Szentkirályszabadja
Target entity description: Szentkirályszabadja is a village in Veszprém County, Hungary, known for its former Soviet military air base and proximity to Lake Balaton.
  • A. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • B. 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.
  • C. Nagykálló
    Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
  • D. Füzesabony
    Füzesabony is a small town in northeastern Hungary known as a regional railway junction and gateway to the Bükk and Mátra regions.
  • E. Egerszalók
    Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
  • 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_6a090b03b5588190a98681307f32946f completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090b872f58819087803faf1293f1b7 completed May 17, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_6a090c57aef48190978b5fe94dd4feab completed May 17, 2026, 12:31 a.m.
Created at: April 16, 2026, 12:43 p.m.