Triple

T663849
Position Surface form Disambiguated ID Type / Status
Subject Kraków E12815 entity
Predicate hasHistoricCenter P295 FINISHED
Object Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
E84107 NE FINISHED

How this triple was built (4 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: [Kraków, hasHistoricCenter, Kazimierz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazimierz
Context triple: [Kraków, hasHistoricCenter, Kazimierz]
  • A. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • B. Paweł
    Paweł is a common Polish given name, equivalent to the English name Paul.
  • C. Franciszek Dąbrowski
    Franciszek Dąbrowski was a Polish military officer best known for his role in the heroic defense of the Westerplatte peninsula during the opening days of World War II.
  • D. Władysław Korczyc
    Władysław Korczyc was a Polish-Soviet military officer and general who played a significant command role in the Polish People's Army during and after World War II.
  • E. Tadeusz Kutrzeba
    Tadeusz Kutrzeba was a Polish general and military strategist best known for leading Polish forces during the 1939 defensive campaign against Nazi Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kazimierz
Triple: [Kraków, hasHistoricCenter, Kazimierz]
Generated description
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kazimierz
Target entity description: Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
  • A. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • B. Paweł
    Paweł is a common Polish given name, equivalent to the English name Paul.
  • C. Franciszek Dąbrowski
    Franciszek Dąbrowski was a Polish military officer best known for his role in the heroic defense of the Westerplatte peninsula during the opening days of World War II.
  • D. Władysław Korczyc
    Władysław Korczyc was a Polish-Soviet military officer and general who played a significant command role in the Polish People's Army during and after World War II.
  • E. Tadeusz Kutrzeba
    Tadeusz Kutrzeba was a Polish general and military strategist best known for leading Polish forces during the 1939 defensive campaign against Nazi Germany.
  • F. None of above. chosen

Provenance (5 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd1f0ec819087003d30bbab2fa6 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc9b645881908c7d2d69aa2f44aa completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5e63dbd488190a2cd3c241cc76465 completed March 2, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69a601c3b8f081908e821092ca9cfc82 completed March 2, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:36 p.m.