Triple

T1252316
Position Surface form Disambiguated ID Type / Status
Subject Kol Nidre E26904 entity
Predicate alsoLanguage P12203 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: [Kol Nidre, alsoLanguage, Hebrew]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoLanguage
Context triple: [Kol Nidre, alsoLanguage, Hebrew]
  • A. otherLanguage chosen
    Indicates that an entity has or uses an additional language distinct from its primary or main language.
  • B. influencedLanguage
    Indicates that one language has had an effect on the development, structure, or usage of another language.
  • C. languagesSpoken
    Indicates that an entity is able to communicate using one or more specified languages.
  • D. isSpokenAs
    Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
  • E. isWorkingLanguageOf
    Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf875cf48190b6781d41097ee39b completed March 1, 2026, 10:36 p.m.
PD Predicate disambiguation batch_69a4bb6c977c8190a2bf3e8b67a59beb completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.