Triple

T1000892
Position Surface form Disambiguated ID Type / Status
Subject Book of Joshua E21599 entity
Predicate partOf P40 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: [Book of Joshua, partOf, Nevi'im]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevi'im
Context triple: [Book of Joshua, partOf, 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. Divrei Hayamim
    Divrei Hayamim is the Hebrew name for the biblical Books of Chronicles, which recount the genealogies and history of Israel from Adam through the period of the kings.
  • D. Sefer ha-Ot
    Sefer ha-Ot is a seminal mystical treatise by the 13th-century Kabbalist Abraham Abulafia, exploring prophetic Kabbalah through letter permutations and meditative techniques.
  • E. 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.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fb18b88190ae2d620aaaff4f90 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3ba52ebc819084e3d003a3ec8417 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.