Triple

T301591
Position Surface form Disambiguated ID Type / Status
Subject Tuareg E6207 entity
Predicate script P505 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: [Tuareg, script, Tifinagh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tifinagh
Context triple: [Tuareg, script, Tifinagh]
  • A. Tifinagh chosen
    Tifinagh is an ancient and modern script used primarily to write Berber (Amazigh) languages across North Africa.
  • B. 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.
  • C. Ruqʿah script
    Ruqʿah script is a simple, highly legible Arabic handwriting style commonly used for everyday writing and official documents in the Arab world.
  • D. Nabataean alphabet
    The Nabataean alphabet is an ancient Northwest Semitic script used by the Nabataean kingdom, which evolved from the Phoenician writing system and later gave rise to the early Arabic script.
  • E. Ugaritic alphabet
    The Ugaritic alphabet is an ancient cuneiform script used in the city of Ugarit to write the Ugaritic language, notable as one of the earliest known alphabetic writing systems.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0dd1dc8190aecd5afdeb2fd74b completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3aba2b38c8190b841014b24e14822 completed March 1, 2026, 2:59 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.