Triple

T10400785
Position Surface form Disambiguated ID Type / Status
Subject Ibn Zohr University E245139 entity
Predicate servesRegion P82 FINISHED
Object Souss-Massa 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-Massa | Statement: [Ibn Zohr University, servesRegion, Souss-Massa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Souss-Massa
Context triple: [Ibn Zohr University, servesRegion, Souss-Massa]
  • 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. Souss Tachelhit
    Souss Tachelhit is a major regional variety of the Tachelhit Berber language spoken primarily in Morocco’s Souss region.
  • C. Drâa-Tafilalet
    Drâa-Tafilalet is an administrative region in southeastern Morocco known for its desert landscapes, oases, and location along the Atlas mountain ranges.
  • D. Bassin Agdal
    Bassin Agdal is a historic royal water reservoir located within the Agdal Gardens of Marrakech, Morocco.
  • E. Chenoua
    Chenoua is a Berber (Amazigh) language variety spoken by the Chenoua people in northern Algeria.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d8580788190a4948984fbc2f57d completed April 10, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:07 p.m.