Triple

T21304070
Position Surface form Disambiguated ID Type / Status
Subject Coevorden E525145 entity
Predicate hasTwinTown P919 FINISHED
Object Havířov 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: Havířov | Statement: [Coevorden, hasTwinTown, Havířov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havířov
Context triple: [Coevorden, hasTwinTown, 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. Vyhne
    Vyhne is a historic village in central Slovakia known for its former mining activities, spa traditions, and scenic mountainous surroundings.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa212388190b367290526feb380 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:05 p.m.