Triple

T12604850
Position Surface form Disambiguated ID Type / Status
Subject Saint Faustina Kowalska E300951 entity
Predicate deathPlace P21 FINISHED
Object Kraków, Poland E12815 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: Kraków, Poland | Statement: [Saint Faustina Kowalska, deathPlace, Kraków, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kraków, Poland
Context triple: [Saint Faustina Kowalska, deathPlace, Kraków, Poland]
  • A. Kraków chosen
    Kraków is one of Poland’s oldest and most historically significant cities, renowned for its well-preserved medieval core, royal heritage, and cultural institutions.
  • B. Esta Krakower
    Esta Krakower was the wife of notorious American mobster Benjamin "Bugsy" Siegel and a figure connected to the early 20th-century Jewish-American organized crime world.
  • C. Wrocław
    Wrocław is a major historic city in southwestern Poland, known for its picturesque Old Town, numerous bridges over the Oder River, and role as a cultural and academic center.
  • D. Wrocanka, Poland
    Wrocanka, Poland is a small village in southeastern Poland known as the birthplace of former Polish communist leader Stanisław Kania.
  • E. Warsaw
    Warsaw is the capital and largest city of Poland, known for its resilient history, especially its near-total destruction in World War II and subsequent postwar reconstruction.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e7f2dc8190a42cab7a0e5ea7f3 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f082b6481909950c8c4cb854440 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 5:10 p.m.