Triple

T10576133
Position Surface form Disambiguated ID Type / Status
Subject Chedasutras E249615 entity
Predicate hasPart P35 FINISHED
Object Mahāniśītha
Mahāniśītha is a key Jain canonical text within the disciplinary literature, focusing on monastic conduct, rules, and ethical regulations for ascetics.
 E872381 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: Mahāniśītha | Statement: [Chedasutras, hasPart, Mahāniśītha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mahāniśītha
Context triple: [Chedasutras, hasPart, Mahāniśītha]
  • A. Halayudha
    Halayudha is an epithet of the Hindu deity Balarama, highlighting his association with the plough as his characteristic weapon.
  • B. Priyadarshana
    Priyadarshana is traditionally regarded as one of the children of Mahavira, the 24th Tirthankara in Jainism.
  • C. Karunashtakas
    Karunashtakas is a devotional Marathi composition attributed to the 17th-century saint-poet Samarth Ramdas, expressing intense pleas for divine compassion and grace.
  • D. Tattvacintāmaṇi
    Tattvacintāmaṇi is a foundational work of Indian logic and epistemology that systematizes the Navya-Nyāya school’s analysis of knowledge and inference.
  • E. Sāyaṇa
    Sāyaṇa was a 14th-century South Indian Vedic scholar and minister renowned for his extensive and influential Sanskrit commentaries on the Vedas.
  • 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: Mahāniśītha
Triple: [Chedasutras, hasPart, Mahāniśītha]
Generated description
Mahāniśītha is a key Jain canonical text within the disciplinary literature, focusing on monastic conduct, rules, and ethical regulations for ascetics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mahāniśītha
Target entity description: Mahāniśītha is a key Jain canonical text within the disciplinary literature, focusing on monastic conduct, rules, and ethical regulations for ascetics.
  • A. Halayudha
    Halayudha is an epithet of the Hindu deity Balarama, highlighting his association with the plough as his characteristic weapon.
  • B. Priyadarshana
    Priyadarshana is traditionally regarded as one of the children of Mahavira, the 24th Tirthankara in Jainism.
  • C. Karunashtakas
    Karunashtakas is a devotional Marathi composition attributed to the 17th-century saint-poet Samarth Ramdas, expressing intense pleas for divine compassion and grace.
  • D. Tattvacintāmaṇi
    Tattvacintāmaṇi is a foundational work of Indian logic and epistemology that systematizes the Navya-Nyāya school’s analysis of knowledge and inference.
  • E. Sāyaṇa
    Sāyaṇa was a 14th-century South Indian Vedic scholar and minister renowned for his extensive and influential Sanskrit commentaries on the Vedas.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274b100c8190b477ef4cb745c269 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b65313481909328bd9f7f39bf53 completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94ca07da481908f2d546f8ddc9326 completed April 10, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69d94e8687bc819082b672a64bf85500 completed April 10, 2026, 7:24 p.m.
Created at: April 6, 2026, 12:38 p.m.