Triple

T5469790
Position Surface form Disambiguated ID Type / Status
Subject Shruti E122801 entity
Predicate citedBy P771 FINISHED
Object Dharmaśāstras E18564 NE 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: Dharmaśāstras | Statement: [Shruti, citedBy, Dharmaśāstras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dharmaśāstras
Context triple: [Shruti, citedBy, Dharmaśāstras]
  • A. Dharmashastras chosen
    The Dharmashastras are a genre of ancient Hindu legal and ethical texts that lay down codes of conduct, social duties, and religious law.
  • B. Dharmasutras
    The Dharmasutras are ancient Indian Sanskrit texts that systematically outline religious duties, social laws, and ethical conduct within Vedic society.
  • C. Manusmriti
    Manusmriti is an ancient Hindu legal and ethical text traditionally attributed to the sage Manu, outlining social duties, laws, and moral conduct within the varna and ashrama system.
  • D. Nyaya Sutras
    The Nyaya Sutras are an ancient Indian philosophical text that systematizes logic, epistemology, and debate within the Nyaya school of Hindu philosophy.
  • E. Mulasutras
    Mulasutras are foundational Jain canonical texts that outline core doctrines, ethical principles, and monastic disciplines within the Agama literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd921b65f48190af7fcf89140f9ba8 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4893029081908a801c7a44872ebf completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.