Triple

T38079349
Position Surface form Disambiguated ID Type / Status
Subject Guangmu Tianwang E950808 entity
Predicate equivalentInSanskritTradition P86691 FINISHED
Object Virūpākṣa 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: Virūpākṣa | Statement: [Guangmu Tianwang, equivalentInSanskritTradition, Virūpākṣa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentInSanskritTradition
Context triple: [Guangmu Tianwang, equivalentInSanskritTradition, Virūpākṣa]
  • A. equivalentInBuddhism
    Indicates that one concept, figure, or element is regarded as the corresponding or matching counterpart within the context of Buddhism.
  • B. equatedWithInSomeTraditions chosen
    Indicates that, in certain cultural, religious, or scholarly traditions, one entity is regarded as equivalent to or identified with another.
  • C. equivalentInTibet
    Indicates that two entities are considered equivalent or correspond to each other within the context of Tibet.
  • D. equivalentInReligion
    Indicates that two entities share the same or an essentially identical religious affiliation, tradition, or classification.
  • E. hasMeaningInSanskrit
    Indicates that one entity (such as a word, phrase, or symbol) possesses a specific meaning when interpreted in the Sanskrit language.
  • 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_69f76f02a6c48190a94f3c0b3ee90cf2 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcd867f36081908c88c55a6a1404c1 completed May 7, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69fcd1f47b188190b4cf4b4c748d9d03 completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:21 p.m.