Triple

T8232722
Position Surface form Disambiguated ID Type / Status
Subject Rifian forces E192329 entity
Predicate commandLanguage P238 FINISHED
Object Tarifit E28393 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: Tarifit | Statement: [Rifian forces, commandLanguage, Tarifit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarifit
Context triple: [Rifian forces, commandLanguage, Tarifit]
  • A. Tarifit chosen
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • B. Tijarafe
    Tijarafe is a small rural municipality on the northwest coast of the Canary Island of La Palma, known for its dramatic cliffs, traditional agriculture, and scenic Atlantic views.
  • C. Tagaste
    Tagaste was an ancient North African town in the Roman province of Numidia, best known as the birthplace of Saint Augustine and his mother Saint Monica.
  • D. Tiendesitas
    Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
  • E. Taznatit
    Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb782658fc8190885dc267355ff245 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34e77fd08190a76f81de96d4e605 completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.