Triple

T2669874
Position Surface form Disambiguated ID Type / Status
Subject Lekki Conservation Centre E55723 entity
Predicate locatedIn P40 FINISHED
Object Lekki Peninsula E288149 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: Lekki Peninsula | Statement: [Lekki Conservation Centre, locatedIn, Lekki Peninsula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lekki Peninsula
Context triple: [Lekki Conservation Centre, locatedIn, Lekki Peninsula]
  • A. Lekki chosen
    Lekki is a rapidly developing coastal city and affluent residential and commercial hub in Lagos State, Nigeria.
  • B. Lekki
    Lekki is the official mascot character created for the XVIII Olympic Winter Games.
  • C. Lekki
    Lekki is a fictional companion mascot character associated with Nokki, likely designed as a cute, supportive sidekick figure.
  • D. Lekki Free Trade Zone
    Lekki Free Trade Zone is a major industrial and commercial hub in Lagos State, Nigeria, designed to attract foreign investment and support large-scale manufacturing, logistics, and trade.
  • E. Yaba
    Yaba is a bustling commercial and residential district on Lagos Mainland in Nigeria, known for its markets, educational institutions, and growing tech startup scene.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98d32ac8190b8edd9421b706532 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf5115648190bf1c66882410642d completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:54 p.m.