Triple

T1940557
Position Surface form Disambiguated ID Type / Status
Subject The Gambia E41541 entity
Predicate largestCity P235 FINISHED
Object Serekunda
Serekunda is the most populous urban center and a major commercial hub in The Gambia.
 E235366 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: Serekunda | Statement: [The Gambia, largestCity, Serekunda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serekunda
Context triple: [The Gambia, largestCity, Serekunda]
  • A. Ashaiman
    Ashaiman is a densely populated urban municipality in southern Ghana that functions as a major residential and commercial hub near the capital, Accra.
  • B. Yamoussoukro
    Yamoussoukro is the political capital of Côte d'Ivoire, known for its grand basilica and role as an administrative center in the French-speaking world.
  • C. Malabo
    Malabo is the largest city and main economic and administrative center of Equatorial Guinea, located on the northern coast of Bioko Island in the Gulf of Guinea.
  • D. Libreville
    Libreville is the largest city and main economic and cultural center of Gabon, located on the country’s Atlantic coast.
  • E. Bamako
    Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
  • 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: Serekunda
Triple: [The Gambia, largestCity, Serekunda]
Generated description
Serekunda is the most populous urban center and a major commercial hub in The Gambia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Serekunda
Target entity description: Serekunda is the most populous urban center and a major commercial hub in The Gambia.
  • A. Ashaiman
    Ashaiman is a densely populated urban municipality in southern Ghana that functions as a major residential and commercial hub near the capital, Accra.
  • B. Yamoussoukro
    Yamoussoukro is the political capital of Côte d'Ivoire, known for its grand basilica and role as an administrative center in the French-speaking world.
  • C. Malabo
    Malabo is the largest city and main economic and administrative center of Equatorial Guinea, located on the northern coast of Bioko Island in the Gulf of Guinea.
  • D. Libreville
    Libreville is the largest city and main economic and cultural center of Gabon, located on the country’s Atlantic coast.
  • E. Bamako
    Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fb21fc8190929ea4a87ef4402e completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3044b25c81908a7ebbc6e62a8053 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae344656348190ad75c06926470706 completed March 9, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae349e8f9c8190a22350eebee73e83 completed March 9, 2026, 2:46 a.m.
Created at: March 4, 2026, 7:36 p.m.