Triple

T25752052
Position Surface form Disambiguated ID Type / Status
Subject Mitnagdic Judaism E648490 entity
Predicate primaryLanguageOfScholarship P77928 FINISHED
Object Hebrew 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: Hebrew | Statement: [Mitnagdic Judaism, primaryLanguageOfScholarship, Hebrew]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfScholarship
Context triple: [Mitnagdic Judaism, primaryLanguageOfScholarship, Hebrew]
  • A. hasPrimaryLanguageOfResearch chosen
    Indicates that an entity’s main or principal language used for conducting and publishing research is a specified language.
  • B. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • C. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • D. primaryLanguageIn
    Indicates that a specified language is the main or official language used within a particular place, organization, or context.
  • E. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
  • 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_69e7ab314d788190b3abe19e114080e1 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69fce28d6c3081908bf76f5db63ecf68 completed May 7, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69fce12d2f08819082134b5eb3db6a24 completed May 7, 2026, 6:59 p.m.
Created at: April 22, 2026, 4:36 a.m.