Triple

T14352217
Position Surface form Disambiguated ID Type / Status
Subject Lagoon of Cotonou E355881 entity
Predicate borderedBy P224 FINISHED
Object city of Cotonou E71791 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 Cotonou | Statement: [Lagoon of Cotonou, borderedBy, city of Cotonou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Cotonou
Context triple: [Lagoon of Cotonou, borderedBy, city of Cotonou]
  • A. Cotonou chosen
    Cotonou is the largest city and economic hub of Benin, located on the Gulf of Guinea in West Africa.
  • B. Parakou
    Parakou is a major city in central Benin that serves as an important commercial and transportation hub for the surrounding region.
  • C. 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.
  • D. Port of Cotonou
    The Port of Cotonou is Benin’s principal seaport and a major West African maritime hub for regional trade and transit.
  • E. Abidjan
    Abidjan is a major economic and cultural hub on the southern coast of Côte d'Ivoire, known for its bustling port, modern skyline, and status as one of the largest cities 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4e1e588190bdc7aaf7a2819948 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4335e481909d4db39b8d25edc9 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.