Triple

T7415246
Position Surface form Disambiguated ID Type / Status
Subject Porto-Novo E171111 entity
Predicate isCapitalOf P204 FINISHED
Object Ouémé Department E689810 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: Ouémé Department | Statement: [Porto-Novo, isCapitalOf, Ouémé Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouémé Department
Context triple: [Porto-Novo, isCapitalOf, Ouémé Department]
  • A. Ouémé Department chosen
    Ouémé Department is an administrative region in southeastern Benin that includes the national capital, Porto-Novo, and is known for its role as a political and economic hub.
  • B. Wouri Department
    Wouri Department is an administrative division in Cameroon that encompasses the major economic hub and port city of Douala.
  • C. 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.
  • D. Bénoué Department
    Bénoué Department is an administrative division in northern Cameroon known for its capital Garoua and proximity to the Bénoué River and Bénoué National Park.
  • E. Sud Department
    Sud Department is an administrative region in southern Haiti known for its coastal cities, beaches, and agricultural activities.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c643248190a387abba2f482b25 completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9162980708190be2a347b2322c09c completed March 29, 2026, 12:08 p.m.
Created at: March 27, 2026, 3:11 p.m.