Triple

T11475987
Position Surface form Disambiguated ID Type / Status
Subject Johann Nepomuk Hummel E272025 entity
Predicate placeOfBirth P1 FINISHED
Object Pressburg E126688 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: Pressburg | Statement: [Johann Nepomuk Hummel, placeOfBirth, Pressburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pressburg
Context triple: [Johann Nepomuk Hummel, placeOfBirth, Pressburg]
  • A. Pozsony chosen
    Pozsony is the historical Hungarian name for the city now known as Bratislava, the capital of Slovakia.
  • B. Kapfenberg
    Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
  • C. Visegrád
    Visegrád is a historic town in northern Hungary on the Danube River, renowned for its medieval castle and royal palace that once served as a seat of Hungarian kings.
  • D. 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.
  • E. Brünn
    Brünn is the German name for Brno, the historic capital of Moravia in the present-day Czech Republic.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294c8dc48190a515f83c99405a3b completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee866bb71c819091573965f7cf0dee completed April 26, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:36 p.m.