Triple

T16893963
Position Surface form Disambiguated ID Type / Status
Subject Černá Pole E424248 entity
Predicate partOf P40 FINISHED
Object Brno-sever E831283 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: Brno-sever | Statement: [Černá Pole, partOf, Brno-sever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brno-sever
Context triple: [Černá Pole, partOf, Brno-sever]
  • A. Brno-sever chosen
    Brno-sever is a municipal district in the northern part of Brno in the Czech Republic, comprising several neighborhoods and residential areas.
  • B. Brno-Židenice
    Brno-Židenice is a district of the city of Brno in the Czech Republic, known as a residential and industrial area with important transport links.
  • C. Břeclav
    Břeclav is a town in the South Moravian Region of the Czech Republic, known as a local transport hub and gateway to the Lednice–Valtice cultural landscape near the Austrian and Slovak borders.
  • D. Brněnec
    Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
  • E. Český Brod
    Český Brod is a historic town in the Central Bohemian Region of the Czech Republic, known for its medieval architecture and role as a former royal town on important trade routes.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d6bfc88190b6b47b89c1135871 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7aa83bc8190832d2f3903ce0081 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.