Triple

T20077477
Position Surface form Disambiguated ID Type / Status
Subject Mangamma E499905 entity
Predicate hasScript P182 FINISHED
Object Kannada script NE NERFINISHED

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: Kannada script | Statement: [Mangamma, hasScript, Kannada script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kannada script
Context triple: [Mangamma, hasScript, Kannada script]
  • A. Kannada script chosen
    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.
  • B. Tulu script
    Tulu script is a historical Brahmic script from southern India traditionally used to write the Tulu language, closely related to the Malayalam script.
  • C. 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.
  • D. Kaithi script
    The Kaithi script is a historical Brahmic writing system of northern India that was widely used for administrative and literary purposes in several Indo-Aryan languages, including Bhojpuri.
  • E. Devanagari script
    Devanagari script is an abugida writing system used for several major South Asian languages, including Hindi, Marathi, Nepali, and Sanskrit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643d5238819098b7d4e4e2c8dd67 completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.