Triple

T13400965
Position Surface form Disambiguated ID Type / Status
Subject HC Litvínov E319825 entity
Predicate homeCity P263 FINISHED
Object Litvínov E752885 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: Litvínov | Statement: [HC Litvínov, homeCity, Litvínov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Litvínov
Context triple: [HC Litvínov, homeCity, Litvínov]
  • A. Litvínov chosen
    Litvínov is an industrial town in the north of the Czech Republic known for its chemical industry and ice hockey tradition.
  • B. Litavka
    Litavka is a river in the Czech Republic that flows through the town of Beroun before joining the Berounka River.
  • C. Lišov
    Lišov is a small town in the South Bohemian Region of the Czech Republic, known for its traditional architecture and rural Central European character.
  • D. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • E. Vynohradiv
    Vynohradiv is a town in western Ukraine’s Zakarpattia Oblast, known for its historical architecture and location near the Hungarian and Romanian borders.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4982e0819087a9fcb2fa88541f completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73076a7ac8190bd7898edff7d90e8 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.