Triple

T7223659
Position Surface form Disambiguated ID Type / Status
Subject N'Ko script E150322 entity
Predicate ISO15924Code P208 FINISHED
Object Nkoo 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: Nkoo | Statement: [N'Ko script, ISO15924Code, Nkoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nkoo
Context triple: [N'Ko script, ISO15924Code, Nkoo]
  • 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. Nsibidi
    Nsibidi is an ancient system of symbols and ideographic writing used in southeastern Nigeria, particularly among the Ekpe and related societies, for communication, ritual, and record-keeping.
  • C. Kankana-ey
    Kankana-ey is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • D. Kpelle
    Kpelle is a major Mande language spoken primarily in Liberia and Guinea by the Kpelle people.
  • E. Boko alphabet
    The Boko alphabet is a Latin-based writing system used primarily for transcribing the Hausa language in West Africa.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9b54a5c8190a4a289f32853a8fe completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc11b48881909886a71f1b887789 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:54 p.m.