Triple

T20238619
Position Surface form Disambiguated ID Type / Status
Subject Vijnana Bhairava Tantra E498219 entity
Predicate numberOfMeditationMethods P139359 FINISHED
Object 112 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: 112 | Statement: [Vijnana Bhairava Tantra, numberOfMeditationMethods, 112]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfMeditationMethods
Context triple: [Vijnana Bhairava Tantra, numberOfMeditationMethods, 112]
  • A. meditationType
    Indicates the specific kind or category of meditation practice associated with an entity.
  • B. meditationSubject
    Indicates that one entity is the topic, focus, or object upon which another entity meditates.
  • C. numberOfPramanas
    Indicates the relationship that specifies how many distinct means of valid knowledge (pramāṇas) are recognized or associated in a given epistemic system or context.
  • D. numberOfSutras
    Indicates the quantity or count of sutras associated with a given entity.
  • E. hasMeditativeSound
    Indicates that something produces or is associated with a sound conducive to meditation or meditative practice.
  • F. None of above. chosen

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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716c8de88190916bfa1d6b7f79cb completed April 20, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69e55b1b23f88190bdcbe2f81dd226dd completed April 19, 2026, 10:45 p.m.
PDg Predicate description generation batch_69e56702ad04819099c1c08f28d16809 completed April 19, 2026, 11:36 p.m.
Created at: April 11, 2026, 11:40 p.m.