Triple

T5530817
Position Surface form Disambiguated ID Type / Status
Subject Lagos city walls E145041 entity
Predicate hasView P854 FINISHED
Object Lagos harbour 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 harbour | Statement: [Lagos city walls, hasView, Lagos harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagos harbour
Context triple: [Lagos city walls, hasView, Lagos harbour]
  • A. Lagos Nawa
    Lagos Nawa is a popular music project by Nigerian rapper and singer Olamide that showcases his street-influenced hip-hop and Afrobeats style.
  • 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. Badagry
    Badagry is a coastal town in southwestern Nigeria historically known as a major slave port and trading center during the transatlantic slave trade.
  • D. Port Harcourt
    Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
  • E. Lagos
    Lagos is a major coastal megacity in southwestern Nigeria, known as the country’s economic hub and one of Africa’s most populous and vibrant urban centers.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9b59bc8190a8758b3be54831e9 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02805a174819096cd16f2c1ef2eb1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:34 p.m.