Triple

T112808
Position Surface form Disambiguated ID Type / Status
Subject Talmud E2283 entity
Predicate field P3 FINISHED
Object Halakha E4525 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: Halakha | Statement: [Talmud, field, Halakha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halakha
Context triple: [Talmud, field, Halakha]
  • A. Halakha chosen
    Halakha is the comprehensive body of traditional Jewish religious law and practice derived from the Torah, Talmud, and later rabbinic rulings.
  • B. 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.
  • C. Shulchan Aruch
    Shulchan Aruch is a seminal 16th-century codification of Jewish law that serves as the primary halachic reference for much of the Jewish world.
  • 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. Kashrut
    Kashrut is the body of Jewish dietary laws that governs which foods are permitted, how they must be prepared, and how they may be consumed according to religious 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256eddd748190984a304000988a75 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29e47972c819084658ada85db97d3 completed Feb. 28, 2026, 7:50 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.