Triple

T14486199
Position Surface form Disambiguated ID Type / Status
Subject Alois Jirásek E359233 entity
Predicate placeOfBirth P1 FINISHED
Object Hronov E899902 NE FINISHED

How this triple was built (2 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: Hronov | Statement: [Alois Jirásek, placeOfBirth, Hronov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hronov
Context triple: [Alois Jirásek, placeOfBirth, Hronov]
  • A. Hronov chosen
    Hronov is a small town in the Hradec Králové Region of the Czech Republic, known as the birthplace of writer Alois Jirásek and for its traditional cultural events.
  • B. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • C. Borohrádek
    Borohrádek is a small town in the Hradec Králové Region of the Czech Republic.
  • D. Hlboké nad Váhom
    Hlboké nad Váhom is a village and municipality in northern Slovakia, situated in the Bytča District of the Žilina Region.
  • E. Bruntál
    Bruntál is a historic town in the Moravian-Silesian Region of the Czech Republic, known as one of the oldest towns in the country and a gateway to the Jeseníky Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef883f2b88190807d9157e8d45e3c completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 1:20 a.m.