Triple

T37937061
Position Surface form Disambiguated ID Type / Status
Subject Sakya E946376 entity
Predicate religiousTextCorpus P34765 FINISHED
Object Sakya collected works (Sakya Kabum) 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: Sakya collected works (Sakya Kabum) | Statement: [Sakya, religiousTextCorpus, Sakya collected works (Sakya Kabum)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousTextCorpus
Context triple: [Sakya, religiousTextCorpus, Sakya collected works (Sakya Kabum)]
  • A. religiousTextOf
    Indicates that one entity is a religious text that is sacred to, foundational for, or primarily associated with another entity (such as a religion, denomination, or faith community).
  • B. religiousTextType
    Indicates that one entity is a religious text and specifies the type or category of that religious text in relation to the other entity.
  • C. religiousTextCategory
    Indicates that a religious text belongs to or is classified under a particular category or type.
  • D. religiousTextMentionedIn
    Indicates that a religious text is referenced, cited, or discussed within another work or source.
  • E. religiousTextTradition chosen
    Indicates that a religious text is associated with, originates from, or is authoritative within a particular religious tradition or denomination.
  • 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_69f76ef531ac8190ae6d99e5786e76ec completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a003ffb548081908ba64fd2b570f42f completed May 10, 2026, 8:21 a.m.
PD Predicate disambiguation batch_6a003fcecf788190a13dff38b9de3414 completed May 10, 2026, 8:20 a.m.
Created at: May 3, 2026, 4:20 p.m.