Triple

T9960671
Position Surface form Disambiguated ID Type / Status
Subject Prime Minister of Senegal E195558 entity
Predicate seat P75 FINISHED
Object Dakar E13945 NE FINISHED

How this triple was built (2 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: Dakar | Statement: [Prime Minister of Senegal, seat, Dakar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakar
Context triple: [Prime Minister of Senegal, seat, Dakar]
  • A. Dakar chosen
    Dakar is the capital and largest city of Senegal, located on the Atlantic coast and serving as a major political, economic, and cultural hub of West Africa.
  • B. Saint-Louis, Senegal
    Saint-Louis, Senegal is a historic coastal city and former colonial capital of French West Africa, known for its distinctive island setting, colonial architecture, and cultural significance at the mouth of the Senegal River.
  • C. Nouakchott
    Nouakchott is the capital and largest city of Mauritania, located on the Atlantic coast of Northwest Africa.
  • D. Dzaoudzi
    Dzaoudzi is a coastal town on the island of Petite-Terre in Mayotte, serving as one of the territory’s main urban centers and former capital.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d219c48190b2084b0eb07ae125 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257aa73d4819081f77f8386449905 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:47 p.m.