Triple

T17484690
Position Surface form Disambiguated ID Type / Status
Subject Arthur Nikisch E425748 entity
Predicate placeOfBirth P1 FINISHED
Object Mosonszentmiklós 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: Mosonszentmiklós | Statement: [Arthur Nikisch, placeOfBirth, Mosonszentmiklós]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosonszentmiklós
Context triple: [Arthur Nikisch, placeOfBirth, Mosonszentmiklós]
  • A. Mosonszentmiklós chosen
    Mosonszentmiklós is a village in northwestern Hungary, notable as the birthplace of renowned conductor Arthur Nikisch.
  • B. Nagyszentmiklós
    Nagyszentmiklós is a historic town in the Banat region of Central Europe, now in western Romania, known as the birthplace of composer Béla Bartók.
  • C. Törökszentmiklós
    Törökszentmiklós is a town in central-eastern Hungary known for its agricultural surroundings and location within the Great Hungarian Plain.
  • D. Bóly
    Bóly is a small town in southern Hungary known for its agricultural surroundings and location within Baranya County.
  • E. Mosonmagyaróvár
    Mosonmagyaróvár is a historic town in northwestern Hungary near the Austrian and Slovak borders, known for its thermal baths and strategic location as a regional transport hub.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d13e208190a187b5a08fd2b5d5 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.