Triple

T4959272
Position Surface form Disambiguated ID Type / Status
Subject Souss-Massa E111363 entity
Predicate containsCity P294 FINISHED
Object Biougra
Biougra is a town in southwestern Morocco located within the Souss-Massa region, known for its agricultural activity and proximity to Agadir.
 E482450 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: Biougra | Statement: [Souss-Massa, containsCity, Biougra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Biougra
Context triple: [Souss-Massa, containsCity, Biougra]
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Ivilyuat
    Ivilyuat is the endonym used by the Cahuilla people for their native Uto-Aztecan language traditionally spoken in Southern California.
  • C. Böri
    Böri was a lesser-known member of the Mongol imperial family, recognized primarily as a sibling of the Great Khan Möngke.
  • D. Riabni
    Riabni is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
  • E. Biot
    Biot is a picturesque medieval village in southeastern France’s Alpes-Maritimes department, renowned for its glassblowing tradition and hilltop views near the French Riviera.
  • 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: Biougra
Triple: [Souss-Massa, containsCity, Biougra]
Generated description
Biougra is a town in southwestern Morocco located within the Souss-Massa region, known for its agricultural activity and proximity to Agadir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Biougra
Target entity description: Biougra is a town in southwestern Morocco located within the Souss-Massa region, known for its agricultural activity and proximity to Agadir.
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Ivilyuat
    Ivilyuat is the endonym used by the Cahuilla people for their native Uto-Aztecan language traditionally spoken in Southern California.
  • C. Böri
    Böri was a lesser-known member of the Mongol imperial family, recognized primarily as a sibling of the Great Khan Möngke.
  • D. Riabni
    Riabni is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
  • E. Biot
    Biot is a picturesque medieval village in southeastern France’s Alpes-Maritimes department, renowned for its glassblowing tradition and hilltop views near the French Riviera.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d957cc8190b82fdd1ca61924bf completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81e4ccc4819090223633fdb04eee completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be83c923e08190848def2824a268b8 completed March 21, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69be84d36c74819097a88f29ef409d20 completed March 21, 2026, 11:45 a.m.
Created at: March 20, 2026, 1:32 p.m.