Triple

T37937384
Position Surface form Disambiguated ID Type / Status
Subject Vinaya of the Mūlasarvāstivāda school E946383 entity
Predicate sectionOfCanon P37110 FINISHED
Object ’Dul ba (Vinaya) section of the Tibetan Kangyur 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: ’Dul ba (Vinaya) section of the Tibetan Kangyur | Statement: [Vinaya of the Mūlasarvāstivāda school, sectionOfCanon, ’Dul ba (Vinaya) section of the Tibetan Kangyur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectionOfCanon
Context triple: [Vinaya of the Mūlasarvāstivāda school, sectionOfCanon, ’Dul ba (Vinaya) section of the Tibetan Kangyur]
  • A. scripturalSection chosen
    Indicates a relationship where one text or passage is a specific section or subdivision within a larger scriptural work.
  • B. sectionOfCatechism
    Indicates that one entity is a specific section or subdivision within a larger catechism text or document.
  • C. hadCanonInChapter
    Indicates that a specific piece of story canon or event occurs or is established within a particular chapter.
  • D. usesCodeOfCanons
    Indicates that one entity applies, follows, or is governed by a specified code of canons (a formal set of rules or laws).
  • E. chapterOfLaw
    Indicates that one legal text or section is a chapter belonging to a specific law or legal act.
  • 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_69fbc7b78f9481909f4f8fc2e3fdcde1 completed May 6, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69fbbd18c9908190928d274f8731dfa8 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:20 p.m.