Triple

T35981075
Position Surface form Disambiguated ID Type / Status
Subject Dzogchen Monastery E1040562 entity
Predicate primaryPracticeFocus P67532 FINISHED
Object Great Perfection (Dzogchen) E1042829 NE 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: Great Perfection (Dzogchen) | Statement: [Dzogchen Monastery, primaryPracticeFocus, Great Perfection (Dzogchen)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryPracticeFocus
Context triple: [Dzogchen Monastery, primaryPracticeFocus, Great Perfection (Dzogchen)]
  • A. primaryPractice chosen
    Indicates that one entity is the main or most significant activity, occupation, or method regularly carried out or used by another entity.
  • B. primaryPractitioners
    Indicates the entities that are the main or most directly responsible practitioners of a given activity, field, or practice in relation to another entity.
  • C. practiceFocus
    Indicates that an entity directs its practice or training efforts specifically toward another entity or subject.
  • D. primaryPatientBase
    Indicates that one entity serves as the main or default patient context or reference base for another entity within a medical or clinical setting.
  • E. primaryFunctionInPractice
    Indicates that an entity serves as the main or most important function or role within a given practical context or real-world usage.
  • F. None of above.

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_69f76e28293c8190ae3f4e2208b87117 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d30d510819091500ae2f624bcfc completed June 22, 2026, 10:23 a.m.
PD Predicate disambiguation batch_6a037a0895b48190acdd88dc10db7be7 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:07 p.m.