Triple

T15406649
Position Surface form Disambiguated ID Type / Status
Subject Mongmit E368473 entity
Predicate usedScriptHistorically P33959 FINISHED
Object Shan script E304688 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: Shan script | Statement: [Mongmit, usedScriptHistorically, Shan script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shan script
Context triple: [Mongmit, usedScriptHistorically, Shan script]
  • A. Shan script chosen
    The Shan script is an abugida used primarily for writing the Shan language of Myanmar and neighboring regions, derived from the Burmese script and ultimately from the Brahmic family.
  • B. 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.
  • C. Shahmukhi script
    Shahmukhi script is a Perso-Arabic–based writing system primarily used for writing the Punjabi language in Pakistan.
  • D. Ruqʿah script
    Ruqʿah script is a simple, highly legible Arabic handwriting style commonly used for everyday writing and official documents in the Arab world.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135a26f08190ad3fc1d5a263a24e completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.