Triple

T3175972
Position Surface form Disambiguated ID Type / Status
Subject Mikołaj Zebrzydowski E66465 entity
Predicate givenName P17 FINISHED
Object Mikołaj E161869 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: Mikołaj | Statement: [Mikołaj Zebrzydowski, givenName, Mikołaj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikołaj
Context triple: [Mikołaj Zebrzydowski, givenName, Mikołaj]
  • A. 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.
  • B. San Nicolaas
    San Nicolaas is the second-largest city in Aruba, known for its oil refinery history, multicultural community, and vibrant street art scene.
  • C. São Nicolau
    São Nicolau is a mountainous and sparsely populated island in the Barlavento group of Cape Verde, known for its traditional agriculture and scenic volcanic landscapes.
  • D. 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.
  • E. Mikolaj chosen
    Mikołaj is a given name of Slavic origin that corresponds to the English name Nicholas.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada671e6848190a683eec1519b9268 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235f16e60819091cbdb76130ecc40 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.