Triple

T16919715
Position Surface form Disambiguated ID Type / Status
Subject Ravi River E410412 entity
Predicate ancientName P2834 FINISHED
Object Iravati E91841 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: Iravati | Statement: [Ravi River, ancientName, Iravati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iravati
Context triple: [Ravi River, ancientName, Iravati]
  • A. Iravati chosen
    Iravati is the ancient name of the Ravi River, one of the five major rivers of the Punjab region in South Asia.
  • B. Sarayu
    Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
  • C. Iravati River
    The Iravati River, better known today as the Ravi River, is one of the five major rivers of the Punjab region in northern India and eastern Pakistan, historically significant in Vedic texts and along the route of ancient civilizations.
  • D. Sadanandavathi
    Sadanandavathi was the first wife of Indian actor and politician M. G. Ramachandran.
  • E. Ramavati
    Ramavati was a principal urban center that served as the capital city of the medieval Pala Empire in the Indian subcontinent.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cded2f8481909a20cc08b47e922e completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ecafd908190b8a1513138a29303 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:30 a.m.