Triple

T859257
Position Surface form Disambiguated ID Type / Status
Subject Vedas E18562 entity
Predicate primaryDeitiesMentioned P7648 FINISHED
Object Varuṇa
Varuṇa is an ancient Vedic deity primarily associated with cosmic order, the celestial ocean, and moral law in early Hindu tradition.
E102076 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: Varuṇa | Statement: [Vedas, primaryDeitiesMentioned, Varuṇa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varuṇa
Context triple: [Vedas, primaryDeitiesMentioned, Varuṇa]
  • A. Kala Pani
    Kala Pani is the infamous British-era colonial prison in the Andaman and Nicobar Islands, known for its harsh conditions and use to exile Indian freedom fighters.
  • B. Saraswati
    Saraswati is the Hindu goddess of knowledge, wisdom, music, and the arts, revered as the divine embodiment of learning and creative inspiration.
  • C. Swati
    Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
  • D. Iravati
    Iravati is the ancient name of the Ravi River, one of the five major rivers of the Punjab region in South Asia.
  • E. Bhavani
    Bhavani is a significant river in southern India, known for flowing through Tamil Nadu and contributing majorly to the Kaveri river system.
  • 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: Varuṇa
Triple: [Vedas, primaryDeitiesMentioned, Varuṇa]
Generated description
Varuṇa is an ancient Vedic deity primarily associated with cosmic order, the celestial ocean, and moral law in early Hindu tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Varuṇa
Target entity description: Varuṇa is an ancient Vedic deity primarily associated with cosmic order, the celestial ocean, and moral law in early Hindu tradition.
  • A. Kala Pani
    Kala Pani is the infamous British-era colonial prison in the Andaman and Nicobar Islands, known for its harsh conditions and use to exile Indian freedom fighters.
  • B. Saraswati
    Saraswati is the Hindu goddess of knowledge, wisdom, music, and the arts, revered as the divine embodiment of learning and creative inspiration.
  • C. Swati
    Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
  • D. Iravati
    Iravati is the ancient name of the Ravi River, one of the five major rivers of the Punjab region in South Asia.
  • E. Bhavani
    Bhavani is a significant river in southern India, known for flowing through Tamil Nadu and contributing majorly to the Kaveri river system.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2b66c908190a52f731119b77a1e completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c3d2fc8190b9f76d31528feeb6 completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a558c1308190810a139ad24dfc9d completed March 4, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69a7a5e744188190ae30544753fb9399 completed March 4, 2026, 3:24 a.m.
Created at: March 1, 2026, 7:39 p.m.