Triple

T9207128
Position Surface form Disambiguated ID Type / Status
Subject Moravian-Silesian Region E221010 entity
Predicate containsCity P294 FINISHED
Object Havířov E683386 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: Havířov | Statement: [Moravian-Silesian Region, containsCity, Havířov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havířov
Context triple: [Moravian-Silesian Region, containsCity, Havířov]
  • A. Havířov chosen
    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.
  • B. Nový Jičín
    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.
  • C. Přerov
    Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
  • D. Pelhřimov
    Pelhřimov is a historic town in the Czech Republic known for its well-preserved architecture and role as a local administrative and cultural center.
  • E. Prostějov
    Prostějov is a historic city in the Olomouc Region of the Czech Republic known for its long-standing textile industry and Central European cultural heritage.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b0b6788190908bee67a0c5d48f completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89eedc66c81909076cc7ba35f9da5 completed April 10, 2026, 6:55 a.m.
Created at: March 30, 2026, 7:26 p.m.