Triple

T7639285
Position Surface form Disambiguated ID Type / Status
Subject Lučina E172957 entity
Predicate hasCityOnRiver P17819 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: [Lučina, hasCityOnRiver, Havířov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havířov
Context triple: [Lučina, hasCityOnRiver, 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. 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.
  • C. 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.
  • D. Litoměřice
    Litoměřice is a historic town in the Ústí nad Labem Region of the Czech Republic, known for its well-preserved architecture and location at the confluence of the Elbe and Ohře rivers.
  • E. Chrudim
    Chrudim is a historic town in the Pardubice Region of the Czech Republic, known for its well-preserved medieval center and 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facc4b5481908697e662b0991e3f completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4f48de88190b9cf40bfb1a26323 completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:57 p.m.