Triple

T11999782
Position Surface form Disambiguated ID Type / Status
Subject Guru Amar Das E285626 entity
Predicate scriptureContribution P101067 FINISHED
Object hymns in Raag measure in Guru Granth Sahib 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: hymns in Raag measure in Guru Granth Sahib | Statement: [Guru Amar Das, scriptureContribution, hymns in Raag measure in Guru Granth Sahib]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptureContribution
Context triple: [Guru Amar Das, scriptureContribution, hymns in Raag measure in Guru Granth Sahib]
  • A. scriptureContributedTo chosen
    Indicates that an entity played a role in creating, authoring, or otherwise contributing content to a particular scripture or sacred text.
  • B. scriptureFor
    Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief system).
  • C. inScripture
    Indicates that something is mentioned, described, or referenced within a scriptural or sacred text.
  • D. scriptureType
    Indicates the classification or category of a scripture in relation to its type or genre.
  • E. scripturalExpertise
    Indicates a relationship where one entity possesses specialized knowledge or authoritative understanding of religious scriptures in relation to another entity 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d902b245cc8190af96a9c2bd9c6250 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:46 p.m.