Triple

T8420607
Position Surface form Disambiguated ID Type / Status
Subject Jhelumi E198839 entity
Predicate writingSystem P454 FINISHED
Object Shahmukhi script E27965 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: Shahmukhi script | Statement: [Jhelumi, writingSystem, Shahmukhi script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahmukhi script
Context triple: [Jhelumi, writingSystem, Shahmukhi script]
  • A. Shahmukhi script chosen
    Shahmukhi script is a Perso-Arabic–based writing system primarily used for writing the Punjabi language in Pakistan.
  • B. Khudabadi script
    The Khudabadi script is a historical writing system used primarily by Sindhi-speaking merchant communities of the Indian subcontinent for commercial and everyday purposes.
  • C. Takri script
    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.
  • D. 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.
  • E. Khojki script
    The Khojki script is a historical writing system used primarily by the Nizari Ismaili community of South Asia to record religious and literary texts in languages such as Sindhi and Gujarati.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84ca7b348190abab25e79b05407f completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d469a148190a6f018f758cba5eb completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:06 p.m.