Triple

T13631114
Position Surface form Disambiguated ID Type / Status
Subject Egun E325718 entity
Predicate region P40 FINISHED
Object Atlantique Department E690088 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: Atlantique Department | Statement: [Egun, region, Atlantique Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlantique Department
Context triple: [Egun, region, Atlantique Department]
  • A. Atlantique Department chosen
    Atlantique Department is an administrative region in southern Benin that includes coastal and historically significant cities such as Ouidah.
  • B. Borgou Department
    Borgou Department is an administrative region in northeastern Benin known for its diverse ethnic communities, agriculture-based economy, and the major city of Parakou.
  • C. Saint-Louis Department
    Saint-Louis Department is an administrative division in northern Senegal that encompasses the historic city of Saint-Louis and its surrounding areas.
  • D. Nord-Est Department
    Nord-Est Department is an administrative region in northeastern Haiti known for its border with the Dominican Republic and its coastal and agricultural areas.
  • E. Ouest Department
    Ouest Department is an administrative region in western Haiti that includes the capital city, Port-au-Prince, and serves as the country’s political and economic center.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9ea9088190a17270dec82bbcaa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aeb591481909d39675a543a8b51 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.