Triple

T725280
Position Surface form Disambiguated ID Type / Status
Subject Dravidian languages E14711 entity
Predicate writingSystem P454 FINISHED
Object Telugu script E26871 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 script | Statement: [Dravidian languages, writingSystem, Telugu script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telugu script
Context triple: [Dravidian languages, writingSystem, Telugu script]
  • A. Telugu script chosen
    Telugu script is a South Indian abugida used primarily to write the Telugu language, characterized by its rounded, curvilinear letters and Brahmic origins.
  • B. Kannada script
    The Kannada script is a South Indian abugida primarily used to write the Kannada language, characterized by its rounded letters and shared historical roots with other Brahmic scripts.
  • C. Devanagari script
    Devanagari script is an abugida writing system used for several major South Asian languages, including Hindi, Marathi, Nepali, and Sanskrit.
  • D. Tamil script
    Tamil script is an abugida writing system primarily used to write the Tamil language and several other Dravidian and South Asian languages.
  • E. Sharada script
    The Sharada script is an ancient Brahmic writing system historically used in the northwestern Indian subcontinent, especially in Kashmir, primarily for writing Sanskrit and Kashmiri.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a7fb7c819096db848fe2ba246a completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6666cd4788190ab1ddffa616fdc58 completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.