Triple

T22686811
Position Surface form Disambiguated ID Type / Status
Subject Bhashya E560938 entity
Predicate relatedTo P37 FINISHED
Object Varttika
Varttika is a traditional form of scholarly commentary in Indian philosophical and grammatical literature that supplements and critiques earlier commentaries (bhāṣyas).
 E1551023 NE FINISHED

How this triple was built (4 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: Varttika | Statement: [Bhashya, relatedTo, Varttika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Varttika
Context triple: [Bhashya, relatedTo, Varttika]
  • A. Vaikartana
    Vaikartana is an epithet of Karna, the famed warrior and tragic hero of the Indian epic Mahabharata.
  • B. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • C. Vaati
    Vaati is a recurring villain in The Legend of Zelda series, depicted as a powerful wind sorcerer who often seeks to gain godlike power and plunge the world into chaos.
  • D. Vahto
    Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
  • E. Varkari
    Varkari are devotees in a Hindu bhakti tradition from Maharashtra, India, known for their annual pilgrimage on foot to the Vithoba temple in Pandharpur.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Varttika
Triple: [Bhashya, relatedTo, Varttika]
Generated description
Varttika is a traditional form of scholarly commentary in Indian philosophical and grammatical literature that supplements and critiques earlier commentaries (bhāṣyas).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Varttika
Target entity description: Varttika is a traditional form of scholarly commentary in Indian philosophical and grammatical literature that supplements and critiques earlier commentaries (bhāṣyas).
  • A. Vaikartana
    Vaikartana is an epithet of Karna, the famed warrior and tragic hero of the Indian epic Mahabharata.
  • B. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • C. Vaati
    Vaati is a recurring villain in The Legend of Zelda series, depicted as a powerful wind sorcerer who often seeks to gain godlike power and plunge the world into chaos.
  • D. Vahto
    Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
  • E. Varkari
    Varkari are devotees in a Hindu bhakti tradition from Maharashtra, India, known for their annual pilgrimage on foot to the Vithoba temple in Pandharpur.
  • F. None of above. chosen

Provenance (5 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178649aac8190a9d41f5d82895bdf completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ecafdb0819094d7f93add75b05f completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b834f488c8190bee40bd1caea0e40 completed May 18, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b8717b65c819089d29c1802d1ed55 completed May 18, 2026, 9:39 p.m.
Created at: April 17, 2026, 3:13 p.m.