Triple

T8871367
Position Surface form Disambiguated ID Type / Status
Subject Limbu people E211163 entity
Predicate traditionalText P85454 FINISHED
Object Mundhum oral scripture 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: Mundhum oral scripture | Statement: [Limbu people, traditionalText, Mundhum oral scripture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalText
Context triple: [Limbu people, traditionalText, Mundhum oral scripture]
  • A. readingTradition
    Indicates a relationship where a text, work, or practice is transmitted, interpreted, and maintained through an established history of readings or interpretive practices.
  • B. traditionalSee
    Indicates that one entity perceives or views another entity in a conventional or customary manner, following established norms or traditions.
  • C. traditionalAuthor
    Indicates that an entity is regarded as the conventional or historically accepted author of a work, even if actual authorship may be uncertain or disputed.
  • D. traditionalAuthorship
    Indicates that an entity is recognized as the conventional or historically accepted author of a work, according to traditional attribution.
  • E. traditionalBooks
    Indicates that the relationship or action involves conventional, physical print books as opposed to digital or alternative formats.
  • F. None of above. chosen

Provenance (4 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61281e888190a32b08980310979f completed April 1, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69cc5c2956788190a311c647b4da17a6 completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5d6e54808190af4156edd4c8ffbc completed March 31, 2026, 11:49 p.m.
Created at: March 30, 2026, 6:51 p.m.