Triple

T12070906
Position Surface form Disambiguated ID Type / Status
Subject Saint John of Nepomuk E287418 entity
Predicate nativeName P15 FINISHED
Object Jan Nepomucký E287418 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: Jan Nepomucký | Statement: [Saint John of Nepomuk, nativeName, Jan Nepomucký]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Nepomucký
Context triple: [Saint John of Nepomuk, nativeName, Jan Nepomucký]
  • A. Saint John of Nepomuk chosen
    Saint John of Nepomuk was a 14th-century Bohemian priest and martyr venerated as a patron saint of bridges and protector against floods, widely depicted in Baroque statues across Central Europe.
  • B. František
    František is a masculine given name of Czech and Slovak origin, equivalent to Francis in English.
  • C. Mikuláš of Kadaň
    Mikuláš of Kadaň was a medieval Czech clockmaker and craftsman renowned for his role in creating Prague’s famous astronomical clock.
  • D. Matyáš
    Matyáš is the given name of Jindřich Matyáš Thurn, a notable Bohemian nobleman and military leader of the early 17th century.
  • E. Saint Wenceslas
    Saint Wenceslas is a 10th-century Bohemian duke and Christian martyr revered as the patron saint of the Czech nation and a symbol of Czech statehood.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045a507081909070ea37173d6f97 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f65ccc788190942e16c56f2a495f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.