Triple

T8499156
Position Surface form Disambiguated ID Type / Status
Subject Modibo Keita International Airport E201171 entity
Predicate locatedIn P40 FINISHED
Object Sénou
Sénou is a locality on the outskirts of Bamako, Mali, known for hosting the country’s main international airport.
E740024 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: Sénou | Statement: [Modibo Keita International Airport, locatedIn, Sénou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sénou
Context triple: [Modibo Keita International Airport, locatedIn, Sénou]
  • A. Oussouye
    Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
  • B. Saloum
    Saloum was a precolonial West African kingdom in present-day Senegal that succeeded the Wolof Empire and became one of the major Serer-led states in the region.
  • C. Fouta Djallon
    Fouta Djallon is a mountainous region in central Guinea known as a major watershed of West Africa and the source of several important rivers, including the Niger and Senegal.
  • D. Bénoué
    Bénoué is a major river in West Africa that flows primarily through northern Cameroon before joining the Niger River in Nigeria.
  • E. Kissoué
    Kissoué is a town in southwestern Syria that gained historical significance as the site of a notable World War II battle during the Syria–Lebanon campaign.
  • 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: Sénou
Triple: [Modibo Keita International Airport, locatedIn, Sénou]
Generated description
Sénou is a locality on the outskirts of Bamako, Mali, known for hosting the country’s main international airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sénou
Target entity description: Sénou is a locality on the outskirts of Bamako, Mali, known for hosting the country’s main international airport.
  • A. Oussouye
    Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
  • B. Saloum
    Saloum was a precolonial West African kingdom in present-day Senegal that succeeded the Wolof Empire and became one of the major Serer-led states in the region.
  • C. Fouta Djallon
    Fouta Djallon is a mountainous region in central Guinea known as a major watershed of West Africa and the source of several important rivers, including the Niger and Senegal.
  • D. Bénoué
    Bénoué is a major river in West Africa that flows primarily through northern Cameroon before joining the Niger River in Nigeria.
  • E. Kissoué
    Kissoué is a town in southwestern Syria that gained historical significance as the site of a notable World War II battle during the Syria–Lebanon campaign.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5984d7481908c41c57bef9cf254 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e0aa7788190abd7bb259966bc44 completed April 2, 2026, 11:07 a.m.
NEDg Description generation batch_69ce4ff668d4819081f4c3186437291b completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54cc52cc81908ca48c93956ca86e completed April 2, 2026, 11:36 a.m.
Created at: March 30, 2026, 6:14 p.m.