Triple

T3024388
Position Surface form Disambiguated ID Type / Status
Subject Southern Nigeria E82540 entity
Predicate contains P35 FINISHED
Object Lagos Port Complex 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 Complex | Statement: [Southern Nigeria, contains, Lagos Port Complex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagos Port Complex
Context triple: [Southern Nigeria, contains, Lagos Port Complex]
  • A. 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.
  • 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. 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.
  • D. Port Harcourt
    Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
  • E. 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.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abac0288190a30b42674eea501f completed March 8, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb342008190bec8fbaa4074d40c completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.