Triple

T17317145
Position Surface form Disambiguated ID Type / Status
Subject Yoff E420455 entity
Predicate near P350 FINISHED
Object Dakar city center NE NERFINISHED

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 city center | Statement: [Yoff, near, Dakar city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakar city center
Context triple: [Yoff, near, Dakar city center]
  • 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. Nouadhibou
    Nouadhibou is a major coastal city in northwestern Mauritania, known as an important fishing and commercial hub on the Atlantic coast near the Western Sahara border.
  • D. Nouakchott
    Nouakchott is the capital and largest city of Mauritania, located on the Atlantic coast of Northwest Africa.
  • E. Port of Dakar
    The Port of Dakar is a major West African seaport and maritime hub in Senegal, serving as a key gateway for regional trade and shipping.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399d2fcc81909916302f141e236b completed April 19, 2026, 2:10 a.m.
Created at: April 10, 2026, 5:43 a.m.