Triple

T16591051
Position Surface form Disambiguated ID Type / Status
Subject Ignacy Krieger E403085 entity
Predicate placeOfBirth P1 FINISHED
Object Mikołaj E1176666 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: [Ignacy Krieger, placeOfBirth, Mikołaj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikołaj
Context triple: [Ignacy Krieger, placeOfBirth, Mikołaj]
  • A. Mikołaj chosen
    Mikołaj is a Polish masculine given name, equivalent to Nicholas, commonly used in Poland and other Slavic countries.
  • B. Mikuláš
    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.
  • 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. San Nicolaas
    San Nicolaas is the second-largest city in Aruba, known for its oil refinery history, multicultural community, and vibrant street art scene.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359a012e081909a0604dde3c04bbb completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759b9e5081909815d2cd00d44490 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.