Triple

T17590548
Position Surface form Disambiguated ID Type / Status
Subject Izrael Poznański E428434 entity
Predicate familyName P18 FINISHED
Object 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: Poznański | Statement: [Izrael Poznański, familyName, Poznański]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poznański
Context triple: [Izrael Poznański, familyName, Poznański]
  • A. Poznanski chosen
    Poznanski is a surname of likely Polish origin borne by various individuals, including those of Jewish and Eastern European descent.
  • B. Grójec
    Grójec is a town in east-central Poland known for its apple-growing region and proximity to Warsaw.
  • C. Poznań
    Poznań is a historic and economically significant city in western Poland, known for its medieval Old Town, role as an early center of Polish statehood, and status as a major academic and industrial hub.
  • D. Żoliborz
    Żoliborz is a residential district in northern Warsaw, Poland, known for its interwar modernist architecture, green spaces, and quiet, upscale character.
  • E. Karłów
    Karłów is a small village in southwestern Poland that serves as a popular gateway for tourists exploring the Stołowe Mountains in the Sudetes range.
  • 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.