Triple

T9874071
Position Surface form Disambiguated ID Type / Status
Subject Newar E240028 entity
Predicate traditionalReligionSpecialty P24121 FINISHED
Object Buddhist Vajracharya priests 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: Buddhist Vajracharya priests | Statement: [Newar, traditionalReligionSpecialty, Buddhist Vajracharya priests]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalReligionSpecialty
Context triple: [Newar, traditionalReligionSpecialty, Buddhist Vajracharya priests]
  • A. religiousSceneSpecialization
    Indicates a relationship where a scene is specifically characterized or classified by a particular religious theme, context, or function.
  • B. laterReligion
    Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
  • C. religiousTraditions chosen
    Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
  • D. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • E. officialReligion
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f89fa081908b58956902c193cf completed April 2, 2026, 12:10 a.m.
PD Predicate disambiguation batch_69cd1d7621d48190aa6a6f34399514b0 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:37 p.m.