Triple

T10616568
Position Surface form Disambiguated ID Type / Status
Subject Vrchlabí E276135 entity
Predicate hasCzechName P17790 FINISHED
Object Vrchlabí E276135 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: Vrchlabí | Statement: [Vrchlabí, hasCzechName, Vrchlabí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrchlabí
Context triple: [Vrchlabí, hasCzechName, Vrchlabí]
  • A. Vrchlabí chosen
    Vrchlabí is a Czech town in the northern Bohemian foothills of the Krkonoše (Giant) Mountains, known as a gateway to the nearby ski and mountain resort areas.
  • B. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • C. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • D. Březové Hory
    Březové Hory is a historic mining district and former independent town now forming a notable part of the city of Příbram in the Czech Republic.
  • E. Jablunkov
    Jablunkov is a small historic town in the eastern Czech Republic, near the borders with Poland and Slovakia, known for its multicultural Silesian 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6d76dc8190bd8d481fed3225d9 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69de552d2d548190b6ade494ef2cbe7e completed April 14, 2026, 2:54 p.m.
Created at: April 8, 2026, 7:33 p.m.