Triple

T6982039
Position Surface form Disambiguated ID Type / Status
Subject Mikołaj E161869 entity
Predicate equivalentNameInSlovak P25642 FINISHED
Object Mikuláš E632536 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: Mikuláš | Statement: [Mikołaj, equivalentNameInSlovak, Mikuláš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikuláš
Context triple: [Mikołaj, equivalentNameInSlovak, Mikuláš]
  • A. Mikuláš chosen
    Mikuláš is the Czech name for Saint Nicholas, a traditional Christian figure associated with gift-giving and the inspiration for modern Santa Claus customs in Central Europe.
  • B. Mikuláš of Kadaň
    Mikuláš of Kadaň was a medieval Czech clockmaker and craftsman renowned for his role in creating Prague’s famous astronomical clock.
  • C. St. Niklaus
    St. Niklaus is a locality within the Swiss municipality of Feldbrunnen-St. Niklaus in the canton of Solothurn.
  • D. Mikołajki
    Mikołajki is a popular resort town in northeastern Poland, known for its picturesque lakes and status as a major sailing and tourist center in the Masurian Lake District.
  • E. Knecht Ruprecht
    Knecht Ruprecht is a traditional German folkloric figure who accompanies Saint Nicholas and is often depicted as a stern, punishing counterpart to reward-and-punishment Christmas customs.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6d3f3c8190b0121f7934440c34 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a0e34288190ad2decbc18190c6b completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:31 p.m.