Triple

T17590546
Position Surface form Disambiguated ID Type / Status
Subject Izrael Poznański E428434 entity
Predicate name P16 FINISHED
Object Izrael Poznański 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: Izrael Poznański | Statement: [Izrael Poznański, name, Izrael Poznański]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izrael Poznański
Context triple: [Izrael Poznański, name, Izrael Poznański]
  • A. Izrael Poznański chosen
    Izrael Poznański was a prominent 19th-century Polish-Jewish industrialist and textile magnate from Łódź.
  • B. Las Bielański
    Las Bielański is a historic forest and nature reserve in Warsaw, Poland, known for its rich biodiversity and popular recreational paths.
  • C. Czerniaków
    Czerniaków is a Polish surname most notably borne by Adam Czerniaków, the head of the Warsaw Ghetto Jewish Council during World War II.
  • D. Czerniaków
    Czerniaków is a historic neighborhood in Warsaw, Poland, situated along the Vistula River and known for its prewar architecture and role in the city’s wartime history.
  • E. Lejzer
    Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e6e3888190b73a5b6d7e8c0a55 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.