Triple

T101580
Position Surface form Disambiguated ID Type / Status
Subject Nigeria E2050 entity
Predicate containsCity P294 FINISHED
Object Lagos E10118 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 | Statement: [Nigeria, containsCity, Lagos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagos
Context triple: [Nigeria, containsCity, Lagos]
  • A. Lagos chosen
    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.
  • B. Abuja
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • C. Nairobi
    Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
  • D. Nigeria
    Nigeria is a populous West African country known for its diverse ethnic groups, rich cultural heritage, and status as Africa’s largest economy and oil producer.
  • E. Niger Delta
    The Niger Delta is a vast, oil-rich coastal region in southern Nigeria known for its complex network of creeks and mangrove swamps, significant petroleum production, and associated environmental and social challenges.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256a8b6d0819083838a9708759407 completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e644a48190aa2b8cb142b14394 completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.