Triple

T22387901
Position Surface form Disambiguated ID Type / Status
Subject Nezikin E553441 entity
Predicate partOf P40 FINISHED
Object Mishnah 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: Mishnah | Statement: [Nezikin, partOf, Mishnah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mishnah
Context triple: [Nezikin, partOf, Mishnah]
  • A. Mishnah chosen
    The Mishnah is the foundational written compilation of Jewish oral law that underpins the Talmud and later rabbinic legal tradition.
  • B. Mishneh
    Mishneh is a historic neighborhood in Jerusalem’s Second District, known as one of the early Jewish residential areas built outside the Old City walls.
  • C. Darkei ha-Mishnah
    Darkei ha-Mishnah is a scholarly work by Zacharias Frankel that analyzes the historical development, language, and structure of the Mishnah within rabbinic literature.
  • D. Mishnah Arakhin
    Mishnah Arakhin is a tractate of the Mishnah that discusses the laws of vows and valuations of people and property dedicated to the Temple.
  • E. Tosefta
    The Tosefta is an early rabbinic compilation of Jewish oral law that supplements and parallels the Mishnah with additional teachings and legal material.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15857fb588190b8180963aedd69c0 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.