Triple

T8058350
Position Surface form Disambiguated ID Type / Status
Subject Freiberg in Mähren E188054 entity
Predicate replacedByName P3432 FINISHED
Object Příbor E238340 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: Příbor | Statement: [Freiberg in Mähren, replacedByName, Příbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Příbor
Context triple: [Freiberg in Mähren, replacedByName, Příbor]
  • A. Příbor chosen
    Příbor is a historic town in the Moravian-Silesian Region of the Czech Republic, best known as the birthplace of psychoanalyst Sigmund Freud.
  • B. Prostějov
    Prostějov is a historic city in the Olomouc Region of the Czech Republic known for its long-standing textile industry and Central European cultural heritage.
  • C. Příbram
    Příbram is a historic mining town in the Czech Republic known for its silver and uranium mining heritage and the Svatá Hora pilgrimage site.
  • D. 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.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fa51adc8190b9327441bd8b9fb3 completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb6942ec8190a8326a98b1cd4e50 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 5:25 p.m.