Triple

T19136412
Position Surface form Disambiguated ID Type / Status
Subject S. Y. Agnon E468446 entity
Predicate placeOfBirth P1 FINISHED
Object Buczacz 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: Buczacz | Statement: [S. Y. Agnon, placeOfBirth, Buczacz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buczacz
Context triple: [S. Y. Agnon, placeOfBirth, Buczacz]
  • A. Buczacz chosen
    Buczacz is a historic town in western Ukraine, known for its multicultural past and as the birthplace of Nobel Prize–winning writer Shmuel Yosef Agnon.
  • B. Drohiczyn
    Drohiczyn is a historic town in eastern Poland, picturesquely situated on the Bug River and known for its rich cultural and religious heritage.
  • C. Kraśnik
    Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
  • D. Zolkiewka
    Zolkiewka is a village in eastern Poland, historically home to a significant Jewish community before World War II.
  • E. Bochorna
    Bochorna is a remote highland village in the Tusheti region of northeastern Georgia, known as one of the highest permanently inhabited settlements in Europe.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3ed0704819098be992297320cc9 completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.