Triple

T10088781
Position Surface form Disambiguated ID Type / Status
Subject Andrej Hlinka E215287 entity
Predicate placeOfBirth P1 FINISHED
Object Černová
Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
 E841127 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: Černová | Statement: [Andrej Hlinka, placeOfBirth, Černová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Černová
Context triple: [Andrej Hlinka, placeOfBirth, Černová]
  • A. Vaňková
    Vaňková is a Czech surname commonly borne by women, derived from the masculine form Vaňek.
  • B. Pekarová
    Pekarová is a Czech or Slovak feminine surname derived from the masculine form Pekar.
  • C. Nosková
    Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • D. Terchová
    Terchová is a Slovak village in the Malá Fatra mountains known as the birthplace of the legendary outlaw Juraj Jánošík and for its rich folk traditions and natural scenery.
  • E. Helena Dolny
    Helena Dolny is a South African academic, author, and former head of the Land Bank, known for her work in land reform and social justice.
  • 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: Černová
Triple: [Andrej Hlinka, placeOfBirth, Černová]
Generated description
Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Černová
Target entity description: Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
  • A. Vaňková
    Vaňková is a Czech surname commonly borne by women, derived from the masculine form Vaňek.
  • B. Pekarová
    Pekarová is a Czech or Slovak feminine surname derived from the masculine form Pekar.
  • C. Nosková
    Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • D. Terchová
    Terchová is a Slovak village in the Malá Fatra mountains known as the birthplace of the legendary outlaw Juraj Jánošík and for its rich folk traditions and natural scenery.
  • E. Helena Dolny
    Helena Dolny is a South African academic, author, and former head of the Land Bank, known for her work in land reform and social justice.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd057e32881908bf630559af94906 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b693afac819090635d2eb147bdcb completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b7aecdb081909f651c1bc1bcfd75 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b86bf8948190a79046efadc4adea completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9:01 p.m.