Triple

T10343108
Position Surface form Disambiguated ID Type / Status
Subject Kazimierz Sosnkowski E243674 entity
Predicate givenName P17 FINISHED
Object Kazimierz E84107 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: Kazimierz | Statement: [Kazimierz Sosnkowski, givenName, Kazimierz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazimierz
Context triple: [Kazimierz Sosnkowski, givenName, Kazimierz]
  • A. Kazimierz chosen
    Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
  • B. Wacław
    Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
  • C. Bronisław
    Bronisław is a masculine Slavic given name, particularly common in Poland, borne by several notable historical and cultural figures.
  • D. Jędrzej
    Jędrzej is a Polish male given name, traditionally used as a regional or archaic form of the name Andrzej (Andrew).
  • E. Żymierski
    Żymierski is a Polish surname most notably associated with Michał Rola-Żymierski, a high-ranking military commander and communist-era Marshal of Poland.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e92105888190a08104deb9d0cf1c completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f45e8c0819091f9397619354882 completed April 10, 2026, 6:57 a.m.
Created at: April 6, 2026, 11:55 a.m.