Triple

T11092359
Position Surface form Disambiguated ID Type / Status
Subject Paisaci Prakrit E262286 entity
Predicate describedBy P264 FINISHED
Object Vararuci
Vararuci is an ancient Indian scholar and grammarian traditionally credited with important contributions to the study and codification of Prakrit languages.
 E904266 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: Vararuci | Statement: [Paisaci Prakrit, describedBy, Vararuci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vararuci
Context triple: [Paisaci Prakrit, describedBy, Vararuci]
  • A. Varekai
    Varekai is a Cirque du Soleil touring circus production known for its fantastical forest setting, acrobatic performances, and imaginative storytelling.
  • B. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • C. Varali
    Varali is a major and ancient Carnatic raga known for its distinctive, austere melodic character and frequent use in profound devotional compositions.
  • D. Paravaqar
    Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
  • E. Varaha
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • 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: Vararuci
Triple: [Paisaci Prakrit, describedBy, Vararuci]
Generated description
Vararuci is an ancient Indian scholar and grammarian traditionally credited with important contributions to the study and codification of Prakrit languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vararuci
Target entity description: Vararuci is an ancient Indian scholar and grammarian traditionally credited with important contributions to the study and codification of Prakrit languages.
  • A. Varekai
    Varekai is a Cirque du Soleil touring circus production known for its fantastical forest setting, acrobatic performances, and imaginative storytelling.
  • B. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • C. Varali
    Varali is a major and ancient Carnatic raga known for its distinctive, austere melodic character and frequent use in profound devotional compositions.
  • D. Paravaqar
    Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
  • E. Varaha
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ec6564819097624195d0cd9093 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7d3043c8190bdbe0ec51992db0c completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.