Triple

T2561156
Position Surface form Disambiguated ID Type / Status
Subject Southern Slovakia E57242 entity
Predicate containsCity P294 FINISHED
Object Fiľakovo
Fiľakovo is a small historic town in southern Slovakia known for its medieval castle and multicultural heritage near the Hungarian border.
 E287772 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: Fiľakovo | Statement: [Southern Slovakia, containsCity, Fiľakovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fiľakovo
Context triple: [Southern Slovakia, containsCity, Fiľakovo]
  • A. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • B. Levice
    Levice is a town in southern Slovakia known as a regional center with historical architecture and nearby castle ruins.
  • C. Komárno
    Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
  • D. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • E. Topoľčany
    Topoľčany is a town in western Slovakia known as the birthplace of several notable Slovak ice hockey players, including Miroslav Šatan.
  • 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: Fiľakovo
Triple: [Southern Slovakia, containsCity, Fiľakovo]
Generated description
Fiľakovo is a small historic town in southern Slovakia known for its medieval castle and multicultural heritage near the Hungarian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fiľakovo
Target entity description: Fiľakovo is a small historic town in southern Slovakia known for its medieval castle and multicultural heritage near the Hungarian border.
  • A. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • B. Levice
    Levice is a town in southern Slovakia known as a regional center with historical architecture and nearby castle ruins.
  • C. Komárno
    Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
  • D. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • E. Topoľčany
    Topoľčany is a town in western Slovakia known as the birthplace of several notable Slovak ice hockey players, including Miroslav Šatan.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd336183c819084ed7de8ccc4c548 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa044d42881908e0b03713b3a5c3b completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa14ae2e08190b04ad4e6ab8bbd91 completed March 10, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69afa1c8a7708190bdaefee27d596e49 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:48 p.m.