Triple

T19648840
Position Surface form Disambiguated ID Type / Status
Subject Bohuslav Sobotka E471753 entity
Predicate name P16 FINISHED
Object Bohuslav Sobotka 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: Bohuslav Sobotka | Statement: [Bohuslav Sobotka, name, Bohuslav Sobotka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohuslav Sobotka
Context triple: [Bohuslav Sobotka, name, Bohuslav Sobotka]
  • A. Bohuslav Sobotka chosen
    Bohuslav Sobotka is a Czech politician who served as Prime Minister of the Czech Republic and a leading figure in the Czech Social Democratic Party.
  • B. Zdeněk Fiala
    Zdeněk Fiala is a Czech historian and archivist known for his research on medieval Bohemian history and the Přemyslid dynasty.
  • C. Jiří Němeček
    Jiří Němeček is a Czech dance teacher and choreographer known for mentoring and shaping the early artistic development of renowned choreographer Jiří Kylián.
  • D. Josef Koucký
    Josef Koucký was a Czech firearms designer best known for co-creating the influential CZ 75 semi-automatic pistol.
  • E. Pavel Baudiš
    Pavel Baudiš is a Czech software engineer and entrepreneur best known as a co-founder of the cybersecurity company Avast.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641278e9881909bdf8d440ef6eba4 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.