Triple

T12634273
Position Surface form Disambiguated ID Type / Status
Subject Halachot of the Rif E301717 entity
Predicate approachToTalmud P27804 FINISHED
Object focus on final halachic conclusions LITERAL 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: focus on final halachic conclusions | Statement: [Halachot of the Rif, approachToTalmud, focus on final halachic conclusions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approachToTalmud
Context triple: [Halachot of the Rif, approachToTalmud, focus on final halachic conclusions]
  • A. positionInTalmud
    Indicates the specific location or ordering of a passage, topic, or element within the structured text of the Talmud.
  • B. halakhicApproach chosen
    Indicates an entity’s method, stance, or interpretive framework for applying or understanding Jewish law (halakha) in practice.
  • C. hasGemara
    Indicates that an entity possesses, includes, or is associated with a Gemara (a Talmudic text or study component).
  • D. hasJerusalemTalmud
    Indicates that an entity possesses, is associated with, or is characterized by the Jerusalem Talmud.
  • E. halachicSection
    Indicates a relationship where a subject is classified under, or associated with, a specific section or subdivision within halachic (Jewish legal) texts or rulings.
  • F. None of above.

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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69d960b47130819097e1162ed4fc993a completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:16 p.m.