Triple

T5269453
Position Surface form Disambiguated ID Type / Status
Subject Nabaneeta E119219 entity
Predicate writingSystem P454 FINISHED
Object Bengali script E25965 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: Bengali script | Statement: [Nabaneeta, writingSystem, Bengali script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bengali script
Context triple: [Nabaneeta, writingSystem, Bengali script]
  • A. Bengali script chosen
    Bengali script is an abugida used across eastern South Asia to write languages such as Bengali and Assamese, derived from the ancient Brahmi script.
  • B. Odia script
    Odia script is an abugida of the Brahmic family used primarily to write the Odia language and several other regional Indo-Aryan languages of eastern India.
  • C. Ol Chiki script
    Ol Chiki script is an alphabetic writing system specifically created in the 20th century for the Santhali language, used primarily by the Santal people of eastern India and neighboring regions.
  • D. Devanagari script
    Devanagari script is an abugida writing system used for several major South Asian languages, including Hindi, Marathi, Nepali, and Sanskrit.
  • E. Nandinagari script
    Nandinagari script is a historical Brahmic script of southern India, primarily used to write Sanskrit and related languages in the Deccan region.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfdc9bc81908307f44f32fe9338 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe9542488190b715bc4bd800cb02 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:51 p.m.