Triple

T19521899
Position Surface form Disambiguated ID Type / Status
Subject Rif tribes E488421 entity
Predicate locatedIn P40 FINISHED
Object Rif region NE NERFINISHED

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: Rif region | Statement: [Rif tribes, locatedIn, Rif region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rif region
Context triple: [Rif tribes, locatedIn, Rif region]
  • A. Rif region chosen
    The Rif region is a mountainous area in northern Morocco along the Mediterranean coast, known for its distinct Amazigh (Berber) culture and history of resistance.
  • B. Bilma region
    The Bilma region is a sparsely populated desert area in northeastern Niger, known for its historic salt caravans, oases, and role as a key stop on trans-Saharan trade routes.
  • C. Razih region
    The Razih region is a mountainous area in northwestern Yemen known for its distinct local culture and dialects, including Razihi Arabic.
  • D. Dosso Region
    Dosso Region is an administrative region in southwestern Niger known for its agricultural activities and proximity to the capital, Niamey.
  • E. Sara Province
    Sara Province is an administrative subdivision located within Bolivia's Santa Cruz Department.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635a0b37c8190b70b7427c2e85f59 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.