Triple

T11147057
Position Surface form Disambiguated ID Type / Status
Subject Meilah E263694 entity
Predicate partOf P40 FINISHED
Object Oral Torah E8388 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: Oral Torah | Statement: [Meilah, partOf, Oral Torah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oral Torah
Context triple: [Meilah, partOf, Oral Torah]
  • A. 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.
  • 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. Midrash
    Midrash is a classical Jewish literary and interpretive tradition that explores, explains, and expands upon the Hebrew Bible through narrative, legal, and ethical teachings.
  • D. Midrash halakha
    Midrash halakha is a genre of rabbinic literature that derives and interprets Jewish legal rulings from the biblical text.
  • E. Mishnah chosen
    The Mishnah is the foundational written compilation of Jewish oral law that underpins the Talmud and later rabbinic legal tradition.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e86e9ef48190b4df4b14319a954f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e442248e588190b59866c79169c43a completed April 19, 2026, 2:47 a.m.
Created at: April 8, 2026, 9:28 p.m.