Triple

T20965348
Position Surface form Disambiguated ID Type / Status
Subject Satanika E516351 entity
Predicate mother P120 FINISHED
Object Karenumati NE NERFINISHED

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: Karenumati | Statement: [Satanika, mother, Karenumati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karenumati
Context triple: [Satanika, mother, Karenumati]
  • A. Karenumati chosen
    Karenumati is a lesser-known queen in the Indian epic Mahabharata, chiefly recognized as the wife of the Pandava prince Nakula and the mother of his son Niramitra.
  • B. Taramani
    Taramani is a neighborhood in Chennai, India, known for its educational institutions, research centers, and growing IT and technology hubs.
  • C. Dhakuakhana
    Dhakuakhana is a town in the Indian state of Assam, known for its rural landscape and location within the Brahmaputra River valley.
  • D. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Hogenakkal
    Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb72ef4c8190bebdd2cef3c2148c completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:32 p.m.