Triple

T5681055
Position Surface form Disambiguated ID Type / Status
Subject Aṣṭādhyāyī E125198 entity
Predicate relatedWork P37 FINISHED
Object Gaṇapāṭha
Gaṇapāṭha is a traditional auxiliary text to Pāṇini’s Aṣṭādhyāyī that systematically lists and groups Sanskrit words used in the grammatical system.
 E540991 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: Gaṇapāṭha | Statement: [Aṣṭādhyāyī, relatedWork, Gaṇapāṭha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaṇapāṭha
Context triple: [Aṣṭādhyāyī, relatedWork, Gaṇapāṭha]
  • A. Anusapati
    Anusapati was a 13th-century Javanese king who ruled the Singhasari Kingdom in East Java, Indonesia.
  • B. Dharani
    Dharani is a figure in Hindu tradition known primarily as the consort of the warrior-sage avatar Parashurama.
  • C. Kathaka
    Kathaka is an ancient Vedic shakha (branch or school) of the Krishna Yajurveda, known for its distinct recension and ritual traditions.
  • D. Swayam
    Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
  • E. Dharma-bhrata
    Dharma-bhrata is an epithet of Bharata, a revered figure in Indian epic tradition celebrated for his righteousness and adherence to dharma.
  • 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: Gaṇapāṭha
Triple: [Aṣṭādhyāyī, relatedWork, Gaṇapāṭha]
Generated description
Gaṇapāṭha is a traditional auxiliary text to Pāṇini’s Aṣṭādhyāyī that systematically lists and groups Sanskrit words used in the grammatical system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaṇapāṭha
Target entity description: Gaṇapāṭha is a traditional auxiliary text to Pāṇini’s Aṣṭādhyāyī that systematically lists and groups Sanskrit words used in the grammatical system.
  • A. Anusapati
    Anusapati was a 13th-century Javanese king who ruled the Singhasari Kingdom in East Java, Indonesia.
  • B. Dharani
    Dharani is a figure in Hindu tradition known primarily as the consort of the warrior-sage avatar Parashurama.
  • C. Kathaka
    Kathaka is an ancient Vedic shakha (branch or school) of the Krishna Yajurveda, known for its distinct recension and ritual traditions.
  • D. Swayam
    Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
  • E. Dharma-bhrata
    Dharma-bhrata is an epithet of Bharata, a revered figure in Indian epic tradition celebrated for his righteousness and adherence to dharma.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02397c01081909793bb53ad7cbbce completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a35dd9c8190acd2ee8e94f309a6 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05c471c3081909e5bf44f47388a7c completed March 22, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69c05cda809c81908219947cf06c381a completed March 22, 2026, 9:19 p.m.
Created at: March 22, 2026, 3:44 p.m.