Triple

T15401185
Position Surface form Disambiguated ID Type / Status
Subject Barindra E368318 entity
Predicate writingSystem P454 FINISHED
Object Devanagari E6056 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: Devanagari | Statement: [Barindra, writingSystem, Devanagari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devanagari
Context triple: [Barindra, writingSystem, Devanagari]
  • A. Devanagari script chosen
    Devanagari script is an abugida writing system used for several major South Asian languages, including Hindi, Marathi, Nepali, and Sanskrit.
  • B. Akshara Nagari
    Akshara Nagari is a popular moniker for Kottayam, a Kerala town renowned for its high literacy, rich publishing tradition, and educational institutions.
  • C. Nandinagari script
    Nandinagari script is a historical Brahmic script of southern India, primarily used to write Sanskrit and related languages in the Deccan region.
  • D. 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.
  • E. Brahmi script
    The Brahmi script is one of the oldest writing systems of the Indian subcontinent, serving as the ancestor of most modern South and Southeast Asian scripts.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ea0ac8190a5c68b1951ad3db1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13567e3481908eb6293c6af35f3a completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.