Triple

T1734634
Position Surface form Disambiguated ID Type / Status
Subject Dogri E37893 entity
Predicate writingSystem P454 FINISHED
Object Takri script E145594 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: Takri script | Statement: [Dogri, writingSystem, Takri script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takri script
Context triple: [Dogri, writingSystem, Takri script]
  • A. Takri script chosen
    The Takri script is an abugida historically used in the western Himalayas, particularly in regions of present-day Himachal Pradesh and Jammu, to write several Indo-Aryan languages such as Dogri and Jaunsari.
  • B. Ruqʿah script
    Ruqʿah script is a simple, highly legible Arabic handwriting style commonly used for everyday writing and official documents in the Arab world.
  • C. Shahmukhi script
    Shahmukhi script is a Perso-Arabic–based writing system primarily used for writing the Punjabi language in Pakistan.
  • D. Diwani script
    Diwani script is an ornate Ottoman-era style of Arabic calligraphy characterized by its intricate, flowing lines and dense, decorative composition often used in royal decrees and official documents.
  • E. Taliq script
    Taliq script is a flowing, cursive style of Islamic calligraphy, historically used for Persian and Ottoman Turkish manuscripts and known for its elegant, slanted letterforms.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a2168c819093d302632ff4b7c2 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d999148190a889f761af05f431 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.