Triple

T9826762
Position Surface form Disambiguated ID Type / Status
Subject Bohemia E238675 entity
Predicate contains P35 FINISHED
Object Hradec Králové E19071 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: Hradec Králové | Statement: [Bohemia, contains, Hradec Králové]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hradec Králové
Context triple: [Bohemia, contains, Hradec Králové]
  • A. Hradec Králové chosen
    Hradec Králové is a historic city in the Czech Republic known for its educational institutions, modernist architecture, and role as a regional cultural and economic center.
  • B. Kolín
    Kolín is a historic industrial town and important transport hub on the Elbe River in the Central Bohemian Region of the Czech Republic.
  • C. 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.
  • D. Pardubice
    Pardubice is a city in the Czech Republic known for its ice hockey tradition, historic center, and as the hometown of legendary NHL goaltender Dominik Hašek.
  • E. Olomouc
    Olomouc is a historic city in the eastern Czech Republic known for its well-preserved old town, Baroque architecture, and UNESCO-listed Holy Trinity Column.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb32370e8819087c85fb8328587be completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d62cce008190ae269bbd289625a0 completed April 18, 2026, 12:54 a.m.
Created at: March 30, 2026, 8:32 p.m.