Triple

T11578770
Position Surface form Disambiguated ID Type / Status
Subject Nigerian Ports Authority E274570 entity
Predicate supervises P258 FINISHED
Object Port Harcourt Port E12365 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 Harcourt Port | Statement: [Nigerian Ports Authority, supervises, Port Harcourt Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Harcourt Port
Context triple: [Nigerian Ports Authority, supervises, Port Harcourt Port]
  • A. Port Harcourt chosen
    Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
  • B. Benin City
    Benin City is a major urban center in southern Nigeria, historically known as the capital of the ancient Benin Kingdom and renowned for its rich cultural heritage and bronze artworks.
  • C. Apapa Port
    Apapa Port is Nigeria’s largest and busiest seaport complex, serving as a major gateway for the country’s international maritime trade in Lagos.
  • 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. Yenagoa
    Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e714080a60819095205355776c8637 completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.