Triple

T10166191
Position Surface form Disambiguated ID Type / Status
Subject Maaser E235209 entity
Predicate basedOnText P4593 FINISHED
Object Tanakh E6991 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: Tanakh | Statement: [Maaser, basedOnText, Tanakh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanakh
Context triple: [Maaser, basedOnText, Tanakh]
  • A. Tanakh chosen
    The Tanakh is the canonical collection of Hebrew scriptures that forms the foundational religious text of Judaism, encompassing the Torah (Law), Nevi'im (Prophets), and Ketuvim (Writings).
  • B. Torah
    The Torah is the central and most sacred text of Judaism, comprising the foundational five books that outline Jewish law, teachings, and early history.
  • C. Sefer HaMadda
    Sefer HaMadda is the opening book of Maimonides’ Mishneh Torah, laying out foundational principles of Jewish belief, ethics, and religious practice.
  • D. Mikraot Gedolot
    Mikraot Gedolot is a traditional Jewish Bible edition that presents the Hebrew text of the Tanakh surrounded by classic rabbinic commentaries in a single, integrated volume.
  • E. ספר בראשית
    ספר בראשית הוא הספר הראשון בתורה ובתנ״ך, המתאר את בריאת העולם, ראשית האנושות וסיפורי האבות והאימהות של עם ישראל.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6cf27481909f38839452ac0e37 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3177ddab48190988c280faf406383 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:10 p.m.