Triple

T19326271
Position Surface form Disambiguated ID Type / Status
Subject Mošnov E483362 entity
Predicate hasNearbyCity P350 FINISHED
Object Nový Jičín NE NERFINISHED

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: Nový Jičín | Statement: [Mošnov, hasNearbyCity, Nový Jičín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nový Jičín
Context triple: [Mošnov, hasNearbyCity, Nový Jičín]
  • A. Nový Jičín chosen
    Nový Jičín is a historic town in the Moravian-Silesian Region of the Czech Republic, known for its well-preserved Renaissance square and hat-making tradition.
  • B. Jičín
    Jičín is a historic town in the Czech Republic known for its well-preserved medieval center and association with the fairy-tale character Rumcajs.
  • C. Havířov
    Havířov is an industrial city in the Moravian-Silesian Region of the Czech Republic, known as one of the country’s youngest cities and a post-war planned urban center.
  • D. Moravské Budějovice
    Moravské Budějovice is a small historic town in the Czech Republic known for its traditional architecture and regional cultural heritage.
  • E. Jindřichův Hradec
    Jindřichův Hradec is a historic Czech town known for its well-preserved Renaissance architecture and one of the largest castle complexes in the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8bb28c81909b3a3bbb96b69b4f completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:33 p.m.