Triple

T635446
Position Surface form Disambiguated ID Type / Status
Subject Rabbinic Judaism E16610 entity
Predicate languageOfScholarship P11894 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: [Rabbinic Judaism, languageOfScholarship, Hebrew]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfScholarship
Context triple: [Rabbinic Judaism, languageOfScholarship, Hebrew]
  • A. hasLanguageOfStudy
    Indicates that an entity studies or is engaged in learning a particular language.
  • B. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • C. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • D. languageOfExpression
    Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
  • E. historicallyDominantLanguageOfHigherEducationIn chosen
    Indicates that a language has historically been the primary or prevailing medium of instruction and scholarly communication in institutions of higher education within a given place or region.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee667f08190a0332b8f6c569e1a completed March 1, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69a49d0483908190a5ec42a7403c258e completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.