Triple

T10289673
Position Surface form Disambiguated ID Type / Status
Subject Taslḥit E241327 entity
Predicate languageOf P7445 FINISHED
Object Souss valley E111363 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: Souss valley | Statement: [Taslḥit, languageOf, Souss valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Souss valley
Context triple: [Taslḥit, languageOf, Souss valley]
  • A. Souss-Massa chosen
    Souss-Massa is an administrative region in southwestern Morocco known for its Atlantic coastline, agricultural production, and proximity to the Anti-Atlas mountains.
  • B. Drâa-Tafilalet
    Drâa-Tafilalet is an administrative region in southeastern Morocco known for its desert landscapes, oases, and location along the Atlas mountain ranges.
  • C. Bou Regreg Valley
    Bou Regreg Valley is a fertile river valley in northwestern Morocco known for its agricultural lands and its location between the cities of Rabat and Salé.
  • D. Drâa Valley
    Drâa Valley is a scenic river valley in southeastern Morocco known for its palm groves, ancient kasbahs, and oasis settlements along the Drâa River.
  • E. Tanezrouft region
    The Tanezrouft region is an extremely arid, sparsely inhabited desert area in the central Sahara, known as one of the hottest and driest places on Earth.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d192288190a64c27a4f26b71fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7500fdd1c81909395469afb346f8b completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:41 a.m.