Triple

T1340538
Position Surface form Disambiguated ID Type / Status
Subject Bambara E28452 entity
Predicate writingSystem P454 FINISHED
Object N’Ko script E150322 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: N’Ko script | Statement: [Bambara, writingSystem, N’Ko script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N’Ko script
Context triple: [Bambara, writingSystem, N’Ko script]
  • A. N'Ko script chosen
    N'Ko script is an indigenous alphabetic writing system created in 1949 by Solomana Kante for Manding languages of West Africa, such as Mandinka, Bambara, and Dyula.
  • B. Tifinagh
    Tifinagh is an ancient and modern script used primarily to write Berber (Amazigh) languages across North Africa.
  • C. Tirhuta script
    Tirhuta script is a traditional Brahmic writing system historically used for the Maithili language of the Mithila region in India and Nepal.
  • D. 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.
  • E. Ruqʿah script
    Ruqʿah script is a simple, highly legible Arabic handwriting style commonly used for everyday writing and official documents in the Arab world.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c21490488190b4281a16c87677d1 completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6305c988190830dd535726c6338 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.