Triple

T8968030
Position Surface form Disambiguated ID Type / Status
Subject Kralupy nad Vltavou E214187 entity
Predicate hasSubdivision P747 FINISHED
Object Mikovice
Mikovice is a district/locality that forms part of the town of Kralupy nad Vltavou in the Central Bohemian Region of the Czech Republic.
E769605 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: Mikovice | Statement: [Kralupy nad Vltavou, hasSubdivision, Mikovice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikovice
Context triple: [Kralupy nad Vltavou, hasSubdivision, Mikovice]
  • A. Midžor
    Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
  • B. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • C. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
  • D. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • E. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • 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: Mikovice
Triple: [Kralupy nad Vltavou, hasSubdivision, Mikovice]
Generated description
Mikovice is a district/locality that forms part of the town of Kralupy nad Vltavou in the Central Bohemian Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mikovice
Target entity description: Mikovice is a district/locality that forms part of the town of Kralupy nad Vltavou in the Central Bohemian Region of the Czech Republic.
  • A. Midžor
    Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
  • B. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • C. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
  • D. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • E. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6764aca48190a5e472d1b6841886 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95cbc4c8190a3ac582f735eeb35 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfca41aed08190a5107597625e4b61 completed April 3, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69cfcaba165081908c7bbfb905356942 completed April 3, 2026, 2:12 p.m.
Created at: March 30, 2026, 7:01 p.m.