Triple

T11580482
Position Surface form Disambiguated ID Type / Status
Subject Borgu region E274612 entity
Predicate hasPart P35 FINISHED
Object Parakou
Parakou is a major city in central Benin that serves as an important commercial and transportation hub for the surrounding region.
 E934677 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: Parakou | Statement: [Borgu region, hasPart, Parakou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parakou
Context triple: [Borgu region, hasPart, Parakou]
  • A. Cotonou
    Cotonou is the largest city and economic hub of Benin, located on the Gulf of Guinea in West Africa.
  • B. Biassou
    Biassou was a prominent early leader of the Haitian Revolution, known for his role in organizing and directing the initial slave uprisings against French colonial rule.
  • C. Koudougou
    Koudougou is a major city in central Burkina Faso known as an important commercial and transportation hub.
  • D. 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.
  • E. Bobo-Dioulasso
    Bobo-Dioulasso is the second-largest city of Burkina Faso, known as a major economic and cultural center in the country’s southwest.
  • 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: Parakou
Triple: [Borgu region, hasPart, Parakou]
Generated description
Parakou is a major city in central Benin that serves as an important commercial and transportation hub for the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parakou
Target entity description: Parakou is a major city in central Benin that serves as an important commercial and transportation hub for the surrounding region.
  • A. Cotonou
    Cotonou is the largest city and economic hub of Benin, located on the Gulf of Guinea in West Africa.
  • B. Biassou
    Biassou was a prominent early leader of the Haitian Revolution, known for his role in organizing and directing the initial slave uprisings against French colonial rule.
  • C. Koudougou
    Koudougou is a major city in central Burkina Faso known as an important commercial and transportation hub.
  • D. 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.
  • E. Bobo-Dioulasso
    Bobo-Dioulasso is the second-largest city of Burkina Faso, known as a major economic and cultural center in the country’s southwest.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904c51b881909e7be84c6f3de79f completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7141b16d8819099002a009260a85a completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720f9a8588190aa766d2e1628207a completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72315dda08190996aa84587c5fc80 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.