Triple

T652020
Position Surface form Disambiguated ID Type / Status
Subject Lamentations E11364 entity
Predicate partOf P40 FINISHED
Object Ketuvim E4649 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: Ketuvim | Statement: [Lamentations, partOf, Ketuvim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ketuvim
Context triple: [Lamentations, partOf, Ketuvim]
  • A. Ketuvim chosen
    Ketuvim is the third section of the Hebrew Bible, comprising a diverse collection of poetic, wisdom, and historical writings central to Jewish scripture.
  • B. Neviim
    Neviim is the section of the Hebrew Bible that contains the prophetic books and historical narratives of the prophets in Judaism.
  • C. 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).
  • D. 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.
  • E. Arba’ah Turim
    Arba’ah Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes and clarifies halakhic rulings for practical religious 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f35acb08190a3a8248023ce07f9 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a7391648190916cca6442c5da1a completed March 2, 2026, 1:02 p.m.
Created at: March 1, 2026, 7:36 p.m.