Triple

T5260964
Position Surface form Disambiguated ID Type / Status
Subject Ein Sof as the Christian God E118821 entity
Predicate usesLanguageFrom P2177 FINISHED
Object Hebrew Kabbalistic terminology 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 Kabbalistic terminology | Statement: [Ein Sof as the Christian God, usesLanguageFrom, Hebrew Kabbalistic terminology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesLanguageFrom
Context triple: [Ein Sof as the Christian God, usesLanguageFrom, Hebrew Kabbalistic terminology]
  • A. usesWorkingLanguagesOf
    Indicates that one entity employs or operates using the working languages associated with another entity.
  • 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. includesLanguage chosen
    Indicates that one entity contains, supports, or makes use of a specified language as part of its content, functionality, or representation.
  • D. recognizedAsDistinctLanguageFrom
    Indicates that one language is formally acknowledged or treated as a separate and distinct language from another, rather than as a dialect or variant of it.
  • E. recognizedLanguage
    Indicates that an entity has identified, detected, or acknowledged a particular language as being used or present.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bcf026c8190881b6e14b962a3c9 completed March 20, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69bd77c55224819096c0bcfcfae79bd3 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:50 p.m.