Triple

T11888178
Position Surface form Disambiguated ID Type / Status
Subject Kel Air E282844 entity
Predicate usesScript P1587 FINISHED
Object Tifinagh E28394 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: Tifinagh | Statement: [Kel Air, usesScript, Tifinagh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tifinagh
Context triple: [Kel Air, usesScript, Tifinagh]
  • A. Tifinagh chosen
    Tifinagh is an ancient and modern script used primarily to write Berber (Amazigh) languages across North Africa.
  • B. Maghribi script
    Maghribi script is a distinctive, rounded style of Arabic calligraphy that developed in the Islamic West (North Africa and al-Andalus), characterized by its bold curves and unique regional letterforms.
  • C. 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.
  • D. Punic script
    Punic script is a later, regionally adapted form of the Phoenician writing system used primarily in Carthage and other Punic-speaking communities around the western Mediterranean.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417e919548190acbc248879f957ec completed May 1, 2026, 3:03 a.m.
Created at: April 8, 2026, 9:44 p.m.