Triple

T17738722
Position Surface form Disambiguated ID Type / Status
Subject Mikulov E442792 entity
Predicate alternativeName P39 FINISHED
Object Nikolsburg NE NERFINISHED

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: Nikolsburg | Statement: [Mikulov, alternativeName, Nikolsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolsburg
Context triple: [Mikulov, alternativeName, Nikolsburg]
  • A. Nikolsburg chosen
    Nikolsburg is a historic town in the South Moravian Region of the Czech Republic, known for its castle, wine-making tradition, and role as the site of the 1621 peace treaty ending hostilities between Habsburg Austria and Transylvania.
  • B. Troppau
    Troppau is a historic Central European town, now known as Opava in the Czech Republic, that has long served as an important regional administrative and cultural center in Silesia.
  • C. Küstrin
    Küstrin is a historic town on the Oder River—now largely part of Kostrzyn nad Odrą in western Poland—that once belonged to Germany and served as a significant Prussian fortress and administrative center.
  • D. Klausenburg
    Klausenburg is the German name for the city of Cluj-Napoca, a major historical and cultural center in Transylvania, Romania.
  • E. Leuchau
    Leuchau is a small municipality located in the Kulmbach district of northern Bavaria, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acb05848190a4b7edb98f15b8c6 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.