Triple

T10327225
Position Surface form Disambiguated ID Type / Status
Subject P. V. Narasimha Rao E242789 entity
Predicate languagesSpoken P741 FINISHED
Object Telugu E5056 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: Telugu | Statement: [P. V. Narasimha Rao, languagesSpoken, Telugu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telugu
Context triple: [P. V. Narasimha Rao, languagesSpoken, Telugu]
  • A. Telugu chosen
    Telugu is a major Dravidian language predominantly spoken in the Indian states of Andhra Pradesh and Telangana, known for its rich literary tradition and classical status.
  • B. Rayalaseema Telugu
    Rayalaseema Telugu is a regional dialect of the Telugu language spoken primarily in the Rayalaseema region of Andhra Pradesh, characterized by distinct phonetic and lexical features.
  • C. Kannada
    Kannada is a major Dravidian language predominantly spoken in the Indian state of Karnataka and surrounding regions, with a rich literary tradition spanning over a millennium.
  • D. Andhratharhi
    Andhratharhi is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Tamil
    Tamil is a classical Dravidian language spoken predominantly in the Indian state of Tamil Nadu and in parts of Sri Lanka, with a rich literary tradition spanning over two millennia.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ce69b881909f27d97c90643634 completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dafa9308190ae0d3c34ba0c58b1 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:51 a.m.