Triple

T9876165
Position Surface form Disambiguated ID Type / Status
Subject Svratka E240077 entity
Predicate crossesCity P13729 FINISHED
Object Brno-jih E47149 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-jih | Statement: [Svratka, crossesCity, Brno-jih]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brno-jih
Context triple: [Svratka, crossesCity, Brno-jih]
  • A. Bražec
    Bražec is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • B. 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.
  • C. Havlíčkův Brod
    Havlíčkův Brod is a historic town in the Vysočina Region of the Czech Republic, situated on the Sázava River and known for its medieval center and long-standing brewing tradition.
  • D. Brno chosen
    Brno is the second-largest city in the Czech Republic, known as a major cultural, educational, and industrial center in the historical region of Moravia.
  • E. 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.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3fb58d481908407898912c4b4e9 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eae5a31c81908085f637fbbff6d2 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:37 p.m.