Triple

T9714295
Position Surface form Disambiguated ID Type / Status
Subject Orya E235100 entity
Predicate scriptFamily P5793 FINISHED
Object Brahmic scripts E48152 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: Brahmic scripts | Statement: [Orya, scriptFamily, Brahmic scripts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brahmic scripts
Context triple: [Orya, scriptFamily, Brahmic scripts]
  • A. Brahmic scripts chosen
    Brahmic scripts are a family of abugida writing systems that originated in ancient India and gave rise to many of the scripts used across South and Southeast Asia.
  • B. 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.
  • C. Prachalit script
    Prachalit script is a historical Brahmic writing system used primarily for the Nepal Bhasa (Newar) language of the Kathmandu Valley.
  • D. Siddham script
    Siddham script is an ancient Indian writing system derived from Brahmi, historically used for recording Sanskrit Buddhist texts and mantras, especially in East Asia.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0a1b548190b34c8571751ca1d3 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f900ca08190a52f042feab2afa3 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.