Triple

T7214704
Position Surface form Disambiguated ID Type / Status
Subject Mayabunder Tehsil E149501 entity
Predicate hasCommonLanguage 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: [Mayabunder Tehsil, hasCommonLanguage, Telugu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telugu
Context triple: [Mayabunder Tehsil, hasCommonLanguage, 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98cbebc8190941e76259c988790 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf8766508190945a96f9536135ef completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:53 p.m.