Triple

T22585056
Position Surface form Disambiguated ID Type / Status
Subject Unicode bidirectional algorithm E564766 entity
Predicate supportsScript P203 FINISHED
Object N’Ko 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: N’Ko script | Statement: [Unicode bidirectional algorithm, supportsScript, N’Ko script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N’Ko script
Context triple: [Unicode bidirectional algorithm, supportsScript, N’Ko script]
  • A. N'Ko script
    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. Bamum script
    Bamum script is an indigenous writing system from Cameroon, created in the late 19th century by King Ibrahim Njoya to record the Bamum language and culture.
  • C. Soyombo script
    The Soyombo script is an artificial writing system created in the 17th century by Mongolian monk and scholar Zanabazar for writing Mongolian, Tibetan, and Sanskrit.
  • D. N’Ko chosen
    N’Ko is a writing system devised in the 20th century for Manding languages of West Africa, notable for its right-to-left script and role in promoting literacy and cultural identity.
  • E. Tifinagh
    Tifinagh is an ancient and modern script used primarily to write Berber (Amazigh) languages across North Africa.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615c18f88190ad4f23639d15f337 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:45 p.m.