Triple

T441302
Position Surface form Disambiguated ID Type / Status
Subject Lagos E10118 entity
Predicate hasDistrict P459 FINISHED
Object Lekki
Lekki is an affluent coastal district in Lagos, Nigeria, known for its rapid urban development, gated estates, beaches, and commercial hubs.
 E10118 NE FINISHED

How this triple was built (4 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: Lekki | Statement: [Lagos, hasDistrict, Lekki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lekki
Context triple: [Lagos, hasDistrict, Lekki]
  • A. Ibadan
    Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
  • B. 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.
  • C. Lagos
    Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
  • D. Abuja
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • E. Mbare
    Mbare is one of the oldest and most densely populated townships in Harare, Zimbabwe, known as a major transport hub and bustling market area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lekki
Triple: [Lagos, hasDistrict, Lekki]
Generated description
Lekki is an affluent coastal district in Lagos, Nigeria, known for its rapid urban development, gated estates, beaches, and commercial hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lekki
Target entity description: Lekki is an affluent coastal district in Lagos, Nigeria, known for its rapid urban development, gated estates, beaches, and commercial hubs.
  • A. Ibadan
    Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
  • B. Lagos
    Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
  • C. 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.
  • D. Abuja
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • E. Mbare
    Mbare is one of the oldest and most densely populated townships in Harare, Zimbabwe, known as a major transport hub and bustling market area.
  • F. None of above.

Provenance (5 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2af84881909635ebbbb3465b1b completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e71ec4c8190ac1b80c01e0e83ad completed March 1, 2026, 1:26 p.m.
NEDg Description generation batch_69a43f2a7c848190b54aa6eb8e67ddaf completed March 1, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69a43fcb0da4819088f4d491592e2a5a completed March 1, 2026, 1:31 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.