Triple

T2712412
Position Surface form Disambiguated ID Type / Status
Subject Bight of Benin E59892 entity
Predicate hasCoastalPort P3031 FINISHED
Object Lagos Port E56227 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: Lagos Port | Statement: [Bight of Benin, hasCoastalPort, Lagos Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagos Port
Context triple: [Bight of Benin, hasCoastalPort, Lagos Port]
  • A. Port Harcourt
    Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
  • B. Apapa Port chosen
    Apapa Port is Nigeria’s largest and busiest seaport complex, serving as a major gateway for the country’s international maritime trade in Lagos.
  • C. Lekki Deep Sea Port
    Lekki Deep Sea Port is a major modern deep-water seaport in Lagos State, Nigeria, designed as a key maritime and logistics hub for West Africa.
  • D. Port Harcourt International Airport
    Port Harcourt International Airport is a major Nigerian airport serving the city of Port Harcourt and the surrounding oil-producing region of the Niger Delta.
  • E. 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.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda90d5a88190bcb6caefd8f2dd1b completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc030c9b88190934f96a8ff74c4a7 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:55 p.m.