Triple

T348464
Position Surface form Disambiguated ID Type / Status
Subject Tanakh E6991 entity
Predicate hasPart P35 FINISHED
Object Nevi'im E3230 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: Nevi'im | Statement: [Tanakh, hasPart, Nevi'im]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevi'im
Context triple: [Tanakh, hasPart, Nevi'im]
  • A. Neviim chosen
    Neviim is the section of the Hebrew Bible that contains the prophetic books and historical narratives of the prophets in Judaism.
  • B. Ketuvim
    Ketuvim is the third section of the Hebrew Bible, comprising a diverse collection of poetic, wisdom, and historical writings central to Jewish scripture.
  • C. Sefer HaBahir
    Sefer HaBahir is an early, foundational work of Jewish mysticism that introduces many of the core symbolic concepts and themes later developed in Kabbalah.
  • D. 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).
  • E. Ezra–Nehemiah
    Ezra–Nehemiah is a biblical work that narrates the return of the Jewish exiles from Babylon, the rebuilding of the Jerusalem temple and walls, and the community’s religious and social reforms.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1c1c908190b3a01de893207ed1 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d7ecd23881909e10bb84f266d2d1 completed March 1, 2026, 6:08 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.