Triple

T236868
Position Surface form Disambiguated ID Type / Status
Subject Madras Presidency E4841 entity
Predicate majorLanguage P207 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: [Madras Presidency, majorLanguage, Telugu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telugu
Context triple: [Madras Presidency, majorLanguage, 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. 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.
  • C. 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.
  • D. Hindi
    Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
  • E. Telugu script
    Telugu script is a South Indian abugida used primarily to write the Telugu language, characterized by its rounded, curvilinear letters and Brahmic origins.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ccc5d548190b505bf1d99db41bd completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3673474548190aea1f43318d15a71 completed Feb. 28, 2026, 10:07 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.