Triple

T20071949
Position Surface form Disambiguated ID Type / Status
Subject Muni E499758 entity
Predicate scriptUsed P2367 FINISHED
Object Devanagari 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: Devanagari | Statement: [Muni, scriptUsed, Devanagari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devanagari
Context triple: [Muni, scriptUsed, 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 (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_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.