Triple

T19205686
Position Surface form Disambiguated ID Type / Status
Subject Sohan E480225 entity
Predicate writingSystem P454 FINISHED
Object Gujarati script 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: Gujarati script | Statement: [Sohan, writingSystem, Gujarati script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gujarati script
Context triple: [Sohan, writingSystem, Gujarati script]
  • A. Gujarati script chosen
    The Gujarati script is an abugida used primarily to write the Gujarati language and related Indo-Aryan languages, derived from the Devanagari script and characterized by the absence of the horizontal headline.
  • B. Devanagari script
    Devanagari script is an abugida writing system used for several major South Asian languages, including Hindi, Marathi, Nepali, and Sanskrit.
  • 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. Gondi script
    Gondi script is an abugida writing system used to represent the Gondi language spoken by the Gondi people of central India.
  • E. Kaithi script
    The Kaithi script is a historical Brahmic writing system of northern India that was widely used for administrative and literary purposes in several Indo-Aryan languages, including Bhojpuri.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99cc39c81909499b8d0b78b4665 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:18 p.m.