Triple

T1023907
Position Surface form Disambiguated ID Type / Status
Subject Dnyaneshwari E22096 entity
Predicate script P505 FINISHED
Object Modi script E102191 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: Modi script | Statement: [Dnyaneshwari, script, Modi script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modi script
Context triple: [Dnyaneshwari, script, Modi script]
  • A. Modi script chosen
    Modi script is a historical cursive writing system from western India that was primarily used for administrative and everyday writing in the Marathi language.
  • B. Gondi script
    Gondi script is an abugida writing system used to represent the Gondi language spoken by the Gondi people of central India.
  • C. 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.
  • D. Devanagari script
    Devanagari script is an abugida writing system used for several major South Asian languages, including Hindi, Marathi, Nepali, and Sanskrit.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e28df08190b5be7794442a6f21 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb83118819098a2b283a1cbf8d6 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.