Triple

T25233078
Position Surface form Disambiguated ID Type / Status
Subject Siddhars E632265 entity
Predicate scripturesLanguage P1187 FINISHED
Object Tamil NE NERFINISHED

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: Tamil | Statement: [Siddhars, scripturesLanguage, Tamil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scripturesLanguage
Context triple: [Siddhars, scripturesLanguage, Tamil]
  • A. scriptureTextEnglish
    Indicates that an entity’s associated scripture or sacred text is provided in the English language.
  • B. scripturalLanguageName
    Indicates the name of the language in which a given scripture or sacred text is written.
  • C. hasLanguageOfScripture chosen
    Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
  • D. usedScriptureTranslation
    Indicates that one entity employed or relied on a particular translation of scripture in its actions, works, or communications.
  • E. scriptureTypeTranslated
    Indicates that a scripture or sacred text has been translated into a particular type, version, or format.
  • 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_69e75a8ec5f88190b9eba06ae42b413a completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47df5eafc819089a2735bd8177a27 completed May 1, 2026, 10:18 a.m.
PD Predicate disambiguation batch_69f45d06d0388190b36ecde92013624a completed May 1, 2026, 7:57 a.m.
Created at: April 21, 2026, 1:06 p.m.