Triple

T18457570
Position Surface form Disambiguated ID Type / Status
Subject Jadeja E450942 entity
Predicate titleUsed P29608 FINISHED
Object Rao 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: Rao | Statement: [Jadeja, titleUsed, Rao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rao
Context triple: [Jadeja, titleUsed, Rao]
  • A. Rao chosen
    Rao is a traditional honorific title used by certain Rajput clans in India, historically associated with nobility and local rulership.
  • B. Rao Siha
    Rao Siha was an early Rathore chieftain credited with establishing the Rathore presence in the Marwar region of present-day Rajasthan, India.
  • C. Rajagopala
    Rajagopala is a Hindu deity regarded as a form of Lord Krishna, particularly venerated as the divine cowherd and king of Gokul.
  • D. Sikandra Rao
    Sikandra Rao is a town in the Braj cultural region of Uttar Pradesh, India, known for its agrarian economy and regional trade.
  • E. Sarvepalli
    Sarvepalli is an Indian surname most prominently associated with Sarvepalli Radhakrishnan, the philosopher and statesman who served as the second President of India.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7c18d88190ac17f58111722223 completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:31 a.m.