Triple

T4736806
Position Surface form Disambiguated ID Type / Status
Subject Marrakesh-Safi E105143 entity
Predicate hasKeyCity P316 FINISHED
Object Youssoufia
Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
E467094 NE FINISHED

How this triple was built (4 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: Youssoufia | Statement: [Marrakesh-Safi, hasKeyCity, Youssoufia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youssoufia
Context triple: [Marrakesh-Safi, hasKeyCity, Youssoufia]
  • A. Chaoui
    Chaoui refers to the Shawiya people, an Amazigh (Berber) ethnic group primarily inhabiting the Aurès Mountains region of northeastern Algeria, known for their distinct language and cultural traditions.
  • B. Mimoun
    Mimoun is a surname most notably associated with Alain Mimoun, the French long-distance runner and Olympic marathon champion.
  • C. Belhamed
    Belhamed is a locality in Libya that was the site of significant fighting during World War II’s North African campaign.
  • D. Taliouine
    Taliouine is a small town in southern Morocco renowned as one of the country’s main saffron-producing centers and a gateway to the Jbel Sirwa region.
  • E. Téboursouk
    Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Youssoufia
Triple: [Marrakesh-Safi, hasKeyCity, Youssoufia]
Generated description
Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Youssoufia
Target entity description: Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
  • A. Chaoui
    Chaoui refers to the Shawiya people, an Amazigh (Berber) ethnic group primarily inhabiting the Aurès Mountains region of northeastern Algeria, known for their distinct language and cultural traditions.
  • B. Mimoun
    Mimoun is a surname most notably associated with Alain Mimoun, the French long-distance runner and Olympic marathon champion.
  • C. Belhamed
    Belhamed is a locality in Libya that was the site of significant fighting during World War II’s North African campaign.
  • D. Taliouine
    Taliouine is a small town in southern Morocco renowned as one of the country’s main saffron-producing centers and a gateway to the Jbel Sirwa region.
  • E. Téboursouk
    Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
  • F. None of above. chosen

Provenance (5 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64831c58819098758ac1f7839b3a completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a1796608190972865b2f6beef05 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3d2063e48190afb3fdfd5ad6749f completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3d99a288819088e42e04de5c17a4 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:19 p.m.