Triple

T5363828
Position Surface form Disambiguated ID Type / Status
Subject Al Haouz Province E103082 entity
Predicate administrativeCenter P1474 FINISHED
Object Tahannaout E527514 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: Tahannaout | Statement: [Al Haouz Province, administrativeCenter, Tahannaout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tahannaout
Context triple: [Al Haouz Province, administrativeCenter, Tahannaout]
  • A. Tahannaout chosen
    Tahannaout is a small town in central Morocco that serves as an administrative and market hub for the surrounding rural communities in the foothills of the High Atlas Mountains.
  • B. Benslimane
    Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
  • C. Berrechid
    Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
  • D. Sidi Bennour
    Sidi Bennour is a town and provincial capital in western Morocco known for its agricultural activities, particularly cereal and sugar beet production.
  • E. Taounate
    Taounate is a prominent city in northern Morocco known as an administrative and commercial center for the surrounding rural and mountainous 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865d42508190a1a96121674c1020 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bff2ad363481908f3f287052233ae8 completed March 22, 2026, 1:46 p.m.
Created at: March 20, 2026, 2:02 p.m.