Triple

T9714471
Position Surface form Disambiguated ID Type / Status
Subject Humash E235105 entity
Predicate partOf P40 FINISHED
Object Torah E7794 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: Torah | Statement: [Humash, partOf, Torah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torah
Context triple: [Humash, partOf, Torah]
  • A. Torah chosen
    The Torah is the central and most sacred text of Judaism, comprising the foundational five books that outline Jewish law, teachings, and early history.
  • B. Tanakh
    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).
  • C. Talmud
    The Talmud is a central Jewish religious text comprising rabbinic discussions, legal rulings, and interpretations of the Hebrew Bible that form the foundation of traditional Jewish law and theology.
  • D. Sefer HaMadda
    Sefer HaMadda is the opening book of Maimonides’ Mishneh Torah, laying out foundational principles of Jewish belief, ethics, and religious practice.
  • E. Torat HaBayit
    Torat HaBayit is a halachic work by Rabbi Yisrael Meir Kagan (the Chofetz Chaim), focusing on practical Jewish law for the Jewish home and daily life.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0a1b548190b34c8571751ca1d3 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f900ca08190a52f042feab2afa3 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.