Triple

T22985462
Position Surface form Disambiguated ID Type / Status
Subject Tvrdošín District E571593 entity
Predicate containsSettlement P847 FINISHED
Object Čimhová
Čimhová is a small village and municipality in northern Slovakia, situated in the Tvrdošín District of the Žilina Region near the Polish border.
 E1565298 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: Čimhová | Statement: [Tvrdošín District, containsSettlement, Čimhová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Čimhová
Context triple: [Tvrdošín District, containsSettlement, Čimhová]
  • A. Černová
    Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
  • B. Kotešová
    Kotešová is a village and municipality in northern Slovakia, situated in the Žilina Region.
  • C. Ondráková
    Ondráková is a Czech surname most notably borne by the film actress Anny Ondra (Anna Ondráková), a star of early European cinema.
  • D. Hašková
    Hašková is the feminine form of the Czech surname Hašek, commonly used for women in Czech-speaking contexts.
  • E. Vaňková
    Vaňková is a Czech surname commonly borne by women, derived from the masculine form Vaňek.
  • 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: Čimhová
Triple: [Tvrdošín District, containsSettlement, Čimhová]
Generated description
Čimhová is a small village and municipality in northern Slovakia, situated in the Tvrdošín District of the Žilina Region near the Polish border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Čimhová
Target entity description: Čimhová is a small village and municipality in northern Slovakia, situated in the Tvrdošín District of the Žilina Region near the Polish border.
  • A. Černová
    Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
  • B. Kotešová
    Kotešová is a village and municipality in northern Slovakia, situated in the Žilina Region.
  • C. Ondráková
    Ondráková is a Czech surname most notably borne by the film actress Anny Ondra (Anna Ondráková), a star of early European cinema.
  • D. Hašková
    Hašková is the feminine form of the Czech surname Hašek, commonly used for women in Czech-speaking contexts.
  • E. Vaňková
    Vaňková is a Czech surname commonly borne by women, derived from the masculine form Vaňek.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182996ee08190ab74014ee7ecac2b completed April 29, 2026, 4:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd376fff08190b35d33b0db8f2e8a completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd7f95c208190ae836554fbb958a2 completed May 19, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd8a2c470819081fbbc871391215e completed May 19, 2026, 3:27 a.m.
Created at: April 17, 2026, 3:49 p.m.