Triple

T10289719
Position Surface form Disambiguated ID Type / Status
Subject Morocco E241329 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Sous
Sous is a historical and cultural region in southwestern Morocco known for its fertile valley, Amazigh (Berber) heritage, and production of argan oil and citrus fruits.
 E852261 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: Sous | Statement: [Morocco, hasCulturalRegion, Sous]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sous
Context triple: [Morocco, hasCulturalRegion, Sous]
  • A. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • B. Chou
    Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
  • C. Chou
    Chou is an alternative romanization of the Chinese surname and dynasty name commonly spelled "Zhou" in pinyin.
  • D. Chou
    Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
  • E. Susch
    Susch is a small Swiss village in the Lower Engadine region of the canton of Graubünden, known for its alpine setting and traditional architecture.
  • 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: Sous
Triple: [Morocco, hasCulturalRegion, Sous]
Generated description
Sous is a historical and cultural region in southwestern Morocco known for its fertile valley, Amazigh (Berber) heritage, and production of argan oil and citrus fruits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sous
Target entity description: Sous is a historical and cultural region in southwestern Morocco known for its fertile valley, Amazigh (Berber) heritage, and production of argan oil and citrus fruits.
  • A. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • B. Chou
    Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
  • C. Chou
    Chou is an alternative romanization of the Chinese surname and dynasty name commonly spelled "Zhou" in pinyin.
  • D. Chou
    Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
  • E. Susch
    Susch is a small Swiss village in the Lower Engadine region of the canton of Graubünden, known for its alpine setting and traditional architecture.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d192288190a64c27a4f26b71fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8556f4081908390bc5c14dcf560 completed April 9, 2026, 12:52 a.m.
NEDg Description generation batch_69d6fcaee26c8190a19f7d07a63531f6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd879ab88190b0a47295f5d7ad4d completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:41 a.m.