Triple

T20321109
Position Surface form Disambiguated ID Type / Status
Subject Commentaries of Rashi on Mishnah Berakhot E492207 entity
Predicate approachToInterpretation P21759 FINISHED
Object contextual reading of each mishnah 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: contextual reading of each mishnah | Statement: [Commentaries of Rashi on Mishnah Berakhot, approachToInterpretation, contextual reading of each mishnah]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approachToInterpretation
Context triple: [Commentaries of Rashi on Mishnah Berakhot, approachToInterpretation, contextual reading of each mishnah]
  • A. interpretationMethod chosen
    Indicates the method, technique, or process used to interpret or derive meaning from something.
  • B. intendedInterpretation
    Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
  • C. containsInterpretationOf
    Indicates that one entity includes or embodies an interpretation or understanding of another entity.
  • D. viewOnInterpretation
    Indicates a relationship where one entity expresses or embodies a particular perspective, opinion, or stance on a given interpretation of something.
  • E. approaches
    Indicates that one entity moves closer in position or state to another entity or reference point.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778b8b648190b80badaf15be2599 completed April 20, 2026, 6:59 p.m.
PD Predicate disambiguation batch_69e5762655ac8190a8cc48a29fa2c0c4 completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:20 a.m.