Triple

T19025992
Position Surface form Disambiguated ID Type / Status
Subject Ugrashravas Sauti E465610 entity
Predicate narratesTo P14921 FINISHED
Object Shaunaka 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: Shaunaka | Statement: [Ugrashravas Sauti, narratesTo, Shaunaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaunaka
Context triple: [Ugrashravas Sauti, narratesTo, Shaunaka]
  • A. Shalin
    Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
  • B. Chakia
    Chakia is a town in the East Champaran district of the Indian state of Bihar, known primarily as a local administrative and market center for the surrounding rural region.
  • C. Daksiri
    Daksiri is a principal settlement and local center of the Kilba people in northeastern Nigeria.
  • D. Śaunaka chosen
    Śaunaka is an ancient Vedic sage traditionally regarded as an authority on ritual, lineage, and early Hindu sacred lore.
  • E. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73cace0819096bdac6dc8c17253 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.