Triple

T17056209
Position Surface form Disambiguated ID Type / Status
Subject Port of Dakar E413826 entity
Predicate serves P98 FINISHED
Object city of 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: city of Dakar | Statement: [Port of Dakar, serves, city of Dakar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Dakar
Context triple: [Port of Dakar, serves, city of 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. Thiès
    Thiès is a major city in western Senegal that serves as an important transportation and industrial hub.
  • D. Conakry
    Conakry is the capital and largest city of Guinea, serving as its main economic, cultural, and administrative center on the Atlantic coast of West Africa.
  • E. 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.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7934e881909e9f0ae956fb0816 completed April 18, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fbb89fc81908d2355d36ea2469e completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 5:34 a.m.