Triple

T20264347
Position Surface form Disambiguated ID Type / Status
Subject Oulad Berhil E498924 entity
Predicate locatedNear P294 FINISHED
Object Taroudant 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: Taroudant | Statement: [Oulad Berhil, locatedNear, Taroudant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taroudant
Context triple: [Oulad Berhil, locatedNear, Taroudant]
  • A. Taroudant chosen
    Taroudant is a historic walled city in southern Morocco, often called the "Grandmother of Marrakech" for its similar architecture and traditional markets.
  • B. Guelmim
    Guelmim is a city in southern Morocco known as a gateway to the Sahara and a regional center for Saharan trade and culture.
  • C. Hassi Gara
    Hassi Gara is a town and commune in northern-central Algeria, situated in the Sahara Desert within Ghardaïa Province.
  • D. Taounate
    Taounate is a prominent city in northern Morocco known as an administrative and commercial center for the surrounding rural and mountainous region.
  • E. Beni Mellal
    Beni Mellal is a major city in central Morocco known for its agricultural importance and its location at the foot of the Middle Atlas mountains.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ce27688190b31d7a6c98d3ec5e completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.