Triple

T14733828
Position Surface form Disambiguated ID Type / Status
Subject Rabbi Shmuel HaLevi Wosner E346147 entity
Predicate burialPlace P196 FINISHED
Object Bnei Brak E102846 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: Bnei Brak | Statement: [Rabbi Shmuel HaLevi Wosner, burialPlace, Bnei Brak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bnei Brak
Context triple: [Rabbi Shmuel HaLevi Wosner, burialPlace, Bnei Brak]
  • A. Bnei Brak chosen
    Bnei Brak is a densely populated city in Israel known as a major center of ultra-Orthodox Jewish life and culture.
  • B. Zikhron Ya’akov
    Zikhron Ya’akov is a historic town in northern Israel known for its early Zionist agricultural settlement, wineries, and scenic location overlooking the Mediterranean.
  • C. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • D. Gittin
    Gittin is a tractate of the Mishnah and Talmud that primarily deals with the laws and procedures of Jewish divorce documents (gets).
  • E. Kiryat Bialik
    Kiryat Bialik is a coastal city in northern Israel that forms part of the Haifa metropolitan area.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce6514c8190a37b023dcc0c1b1a completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:29 a.m.