Triple

T12386160
Position Surface form Disambiguated ID Type / Status
Subject Warri River E295868 entity
Predicate hasPort P35 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: [Warri River, hasPort, Warri Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warri Port
Context triple: [Warri River, hasPort, 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. Lagos Harbour
    Lagos Harbour is a major natural seaport and maritime gateway on the Atlantic coast of Lagos, Nigeria, serving as a key hub for the country’s commercial shipping and trade.
  • C. 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.
  • D. Yenagoa
    Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
  • E. 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.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac939bc819081629b9eef20c4e7 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.