Triple

T17124299
Position Surface form Disambiguated ID Type / Status
Subject Thiès Region E415550 entity
Predicate hasCity P316 FINISHED
Object Mbour
Mbour is a coastal city in western Senegal known for its fishing industry, beaches, and role as a regional commercial center.
 E1251250 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: Mbour | Statement: [Thiès Region, hasCity, Mbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mbour
Context triple: [Thiès Region, hasCity, Mbour]
  • A. Foumban
    Foumban is a historic Cameroonian city renowned as the cultural and political center of the Bamoun people, noted for its traditional arts, crafts, and royal palace.
  • B. Bongouanou
    Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
  • C. Gouédic
    Gouédic is a small river in the Côtes-d'Armor department of Brittany in northwestern France.
  • D. Ambouli
    Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
  • E. Sénou
    Sénou is a locality on the outskirts of Bamako, Mali, known for hosting the country’s main international airport.
  • 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: Mbour
Triple: [Thiès Region, hasCity, Mbour]
Generated description
Mbour is a coastal city in western Senegal known for its fishing industry, beaches, and role as a regional commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mbour
Target entity description: Mbour is a coastal city in western Senegal known for its fishing industry, beaches, and role as a regional commercial center.
  • A. Foumban
    Foumban is a historic Cameroonian city renowned as the cultural and political center of the Bamoun people, noted for its traditional arts, crafts, and royal palace.
  • B. Bongouanou
    Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
  • C. Gouédic
    Gouédic is a small river in the Côtes-d'Armor department of Brittany in northwestern France.
  • D. Ambouli
    Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
  • E. Sénou
    Sénou is a locality on the outskirts of Bamako, Mali, known for hosting the country’s main international airport.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f025fce481908e261f2e363e14f9 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a12a7288190911c1be2667916c0 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013a8e69388190b8d48d70a28e99bd completed May 11, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a013b6824888190853cf36548507e1b completed May 11, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:36 a.m.