Triple

T11578771
Position Surface form Disambiguated ID Type / Status
Subject Nigerian Ports Authority E274570 entity
Predicate supervises P258 FINISHED
Object Warri Port E56493 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: Warri Port | Statement: [Nigerian Ports Authority, supervises, Warri Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warri Port
Context triple: [Nigerian Ports Authority, supervises, Warri Port]
  • A. Kola Bay
    Kola Bay is a fjord-like inlet of the Barents Sea in northwestern Russia, serving as a major naval and commercial harbor near the city of Murmansk.
  • B. Warri chosen
    Warri is a prominent oil-producing and commercial city in southern Nigeria that serves as a key economic hub of the Niger Delta region.
  • C. Yenagoa
    Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
  • D. Lagos marina
    Lagos marina is a modern waterfront harbor complex in Lagos, Portugal, known for its yacht moorings, leisure facilities, and proximity to the town’s beaches and historic center.
  • E. Perm River Port
    Perm River Port is a major river transport hub in the city of Perm, Russia, serving passenger and cargo traffic along the Kama River and the wider Volga–Kama waterway system.
  • 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.