Triple

T6059172
Position Surface form Disambiguated ID Type / Status
Subject Nawanagar State E134988 entity
Predicate rulingClan P9023 FINISHED
Object Jadeja Rajput E514679 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: Jadeja Rajput | Statement: [Nawanagar State, rulingClan, Jadeja Rajput]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jadeja Rajput
Context triple: [Nawanagar State, rulingClan, Jadeja Rajput]
  • A. Jadeja Rajput chosen
    Jadeja Rajput refers to a prominent Rajput clan historically known for ruling several princely states in western India, particularly in present-day Gujarat and Kutch.
  • B. Rajat Kapoor
    Rajat Kapoor is an Indian actor, writer, and filmmaker known for his work in independent cinema and acclaimed films such as "Bheja Fry," "Mithya," and "Ankhon Dekhi."
  • C. Kirron Kher
    Kirron Kher is an Indian film and television actress and politician known for her powerful character roles in Hindi cinema and her work as a Member of Parliament.
  • D. Somesh Jha
    Somesh Jha is a computer scientist known for his research in formal methods, security, and software verification.
  • E. Rajkummar Rao
    Rajkummar Rao is an acclaimed Indian film actor known for his versatile performances in Hindi cinema, particularly in critically praised independent and mainstream films.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570e64408190ae7a2504f63bb58a completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d13627081908a4b1d758ecb8ddc completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.