Triple

T5776671
Position Surface form Disambiguated ID Type / Status
Subject Kaharingan E127458 entity
Predicate hasScriptureType P6836 FINISHED
Object oral tradition 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: oral tradition | Statement: [Kaharingan, hasScriptureType, oral tradition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScriptureType
Context triple: [Kaharingan, hasScriptureType, oral tradition]
  • A. scriptureType chosen
    Indicates the classification or category of a scripture in relation to its type or genre.
  • B. hasScripture
    Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
  • C. hasViewOnScripture
    Indicates that an entity holds a particular interpretive stance or doctrinal position regarding scripture.
  • D. recognizesScripturesFrom
    Indicates that one entity acknowledges or accepts certain scriptures as authoritative or valid based on another entity as their source or origin.
  • E. consideredScriptureBy
    Indicates that one party regards or recognizes a text or writing as sacred scripture.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02acb12c081908e4beee4a957f9f9 completed March 22, 2026, 5:45 p.m.
PD Predicate disambiguation batch_69c021d0c6088190ba670ddcdbf5ca3e completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:50 p.m.