Triple

T10302102
Position Surface form Disambiguated ID Type / Status
Subject Aït Melloul E241655 entity
Predicate belongsTo P35 FINISHED
Object Souss plain 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 plain | Statement: [Aït Melloul, belongsTo, Souss plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Souss plain
Context triple: [Aït Melloul, belongsTo, Souss plain]
  • 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. Bassin Agdal
    Bassin Agdal is a historic royal water reservoir located within the Agdal Gardens of Marrakech, Morocco.
  • C. Toshka
    Toshka is a region in southern Egypt best known for the Toshka Lakes and large-scale desert reclamation and irrigation projects near Lake Nasser.
  • D. 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.
  • E. Drâa-Tafilalet
    Drâa-Tafilalet is an administrative region in southeastern Morocco known for its desert landscapes, oases, and location along the Atlas mountain ranges.
  • 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_69d4d30716d8819085e25a78e6af3b9d completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e4cdf8881908d613a0cb65fa0c2 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:45 a.m.