Triple

T6435918
Position Surface form Disambiguated ID Type / Status
Subject Littoral Region E129893 entity
Predicate hasSeaport P3007 FINISHED
Object Port of Douala E557628 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: Port of Douala | Statement: [Littoral Region, hasSeaport, Port of Douala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Douala
Context triple: [Littoral Region, hasSeaport, Port of Douala]
  • A. Port of Douala chosen
    The Port of Douala is Cameroon’s principal seaport and a major Central African maritime hub for regional trade and cargo transit.
  • B. Port of Malabo
    The Port of Malabo is the principal seaport of Equatorial Guinea’s capital city, serving as a key hub for the country’s oil, gas, and general maritime trade in the Gulf of Guinea.
  • C. Port of Libreville
    The Port of Libreville is Gabon's principal seaport and a key hub for the export of timber, minerals, and other goods from the capital region to international markets.
  • 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. Port of Muanda
    The Port of Muanda is a coastal seaport in the Democratic Republic of the Congo that serves as a key maritime outlet near the Atlantic terminus of the Congo River.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069622eb881908b40fc8079d312d6 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640f2915c8190aea3578dcd77dd5f completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:45 p.m.