Triple

T2561149
Position Surface form Disambiguated ID Type / Status
Subject Southern Slovakia E57242 entity
Predicate containsCity P294 FINISHED
Object Trebišov
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
 E291276 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: Trebišov | Statement: [Southern Slovakia, containsCity, Trebišov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trebišov
Context triple: [Southern Slovakia, containsCity, Trebišov]
  • A. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • B. Prešporok
    Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
  • C. Rimavská Sobota
    Rimavská Sobota is a town in southern Slovakia known as a regional center in the Banská Bystrica Region with historical roots and a mixed cultural heritage.
  • D. Trenčín
    Trenčín is a historic city in western Slovakia known for its medieval castle overlooking the Váh River and its role as a regional cultural and economic center.
  • E. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • 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: Trebišov
Triple: [Southern Slovakia, containsCity, Trebišov]
Generated description
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trebišov
Target entity description: Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • A. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • B. Prešporok
    Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
  • C. Rimavská Sobota
    Rimavská Sobota is a town in southern Slovakia known as a regional center in the Banská Bystrica Region with historical roots and a mixed cultural heritage.
  • D. Trenčín
    Trenčín is a historic city in western Slovakia known for its medieval castle overlooking the Váh River and its role as a regional cultural and economic center.
  • E. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • 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_69afaf3b61fc8190988484bedc5b57a0 completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afb0bf48a481908edc45d17dc4a25d completed March 10, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69afb12ecf208190b5f486f1b81e1dcd completed March 10, 2026, 5:50 a.m.
Created at: March 6, 2026, 9:48 p.m.