Triple

T12795641
Position Surface form Disambiguated ID Type / Status
Subject Onikan neighborhood E305881 entity
Predicate near P350 FINISHED
Object Ikoyi E327246 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: Ikoyi | Statement: [Onikan neighborhood, near, Ikoyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikoyi
Context triple: [Onikan neighborhood, near, Ikoyi]
  • A. Ikoyi chosen
    Ikoyi is an affluent, high-end residential and commercial district in Lagos, Nigeria, known for its luxury real estate, upscale hotels, and diplomatic presence.
  • B. Ibeju-Lekki
    Ibeju-Lekki is a rapidly developing local government area in Lagos State, Nigeria, known for major infrastructure projects, emerging residential estates, and proximity to the Lekki Free Trade Zone and Dangote Refinery.
  • C. Eso Ikoyi
    Eso Ikoyi were an elite warrior caste of the Oyo Empire in Yorubaland, renowned for their strict code of honor, bravery, and key role in the empire’s military campaigns.
  • D. Lekki
    Lekki is a fictional companion mascot character associated with Nokki, likely designed as a cute, supportive sidekick figure.
  • E. Lekki
    Lekki is the official mascot character created for the XVIII Olympic Winter Games.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6db68481909a2ca8da1287f3e0 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850d6ebc8190aaffcac09f4b15eb completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.