Triple

T17619536
Position Surface form Disambiguated ID Type / Status
Subject Michal Kováč E429671 entity
Predicate placeOfBirth P1 FINISHED
Object Ľubiša
Ľubiša is a village in northeastern Slovakia, known as the birthplace of the country’s first president, Michal Kováč.
 E1280395 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: Ľubiša | Statement: [Michal Kováč, placeOfBirth, Ľubiša]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ľubiša
Context triple: [Michal Kováč, placeOfBirth, Ľubiša]
  • A. Lubenice
    Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
  • B. Kraslice
    Kraslice is a town in the Karlovy Vary Region of the Czech Republic, known historically for its musical instrument manufacturing.
  • C. Žarnovica
    Žarnovica is a small town in central Slovakia known for its location in the Hron River valley and its traditional industrial and mining background.
  • D. Beloslav
    Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
  • E. Žužemberk
    Žužemberk is a small historic town in southeastern Slovenia, known for its medieval castle and picturesque setting along the Krka River.
  • 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: Ľubiša
Triple: [Michal Kováč, placeOfBirth, Ľubiša]
Generated description
Ľubiša is a village in northeastern Slovakia, known as the birthplace of the country’s first president, Michal Kováč.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ľubiša
Target entity description: Ľubiša is a village in northeastern Slovakia, known as the birthplace of the country’s first president, Michal Kováč.
  • A. Lubenice
    Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
  • B. Kraslice
    Kraslice is a town in the Karlovy Vary Region of the Czech Republic, known historically for its musical instrument manufacturing.
  • C. Žarnovica
    Žarnovica is a small town in central Slovakia known for its location in the Hron River valley and its traditional industrial and mining background.
  • D. Beloslav
    Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
  • E. Žužemberk
    Žužemberk is a small historic town in southeastern Slovenia, known for its medieval castle and picturesque setting along the Krka River.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3547d88190ae3c9ffed63133c9 completed April 19, 2026, 5:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02164953c08190acd125c8e4c42976 completed May 11, 2026, 5:47 p.m.
NEDg Description generation batch_6a0217311cd4819082c011b9b6758fc2 completed May 11, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_6a02183df9b48190ada384396946e4a3 completed May 11, 2026, 5:56 p.m.
Created at: April 10, 2026, 5:51 a.m.