Triple

T9365906
Position Surface form Disambiguated ID Type / Status
Subject Irifiyen E225397 entity
Predicate hasEthnonymForm P57538 FINISHED
Object Tarifit (singular, feminine, in some usages) 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 (singular, feminine, in some usages) | Statement: [Irifiyen, hasEthnonymForm, Tarifit (singular, feminine, in some usages)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarifit (singular, feminine, in some usages)
Context triple: [Irifiyen, hasEthnonymForm, Tarifit (singular, feminine, in some usages)]
  • A. Tarifit chosen
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • B. ⵜⴰⵔⵉⴼⵉⵜ (Tarifit)
    ⵜⴰⵔⵉⴼⵉⵜ (Tarifit) is a Northern Berber language spoken primarily by the Rifian people in the Rif region of northern Morocco.
  • C. Tarqumiyah
    Tarqumiyah is a Palestinian town located in the Hebron Governorate in the southern West Bank.
  • D. Westfalentarif
    Westfalentarif is a regional public transport tariff system used across parts of North Rhine-Westphalia, Germany, integrating fares for buses and trains within its coverage area.
  • E. Al-Tarafiyah
    Al-Tarafiyah is a town located in Saudi Arabia’s north-central Ha'il Region.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5041261c81909edab3b7fcd1fe22 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3fbe7d481909712531d907b77d8 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:43 p.m.