Triple

T12110730
Position Surface form Disambiguated ID Type / Status
Subject Lekki Deep Sea Port E288421 entity
Predicate locatedIn P40 FINISHED
Object Lekki Free Zone E288420 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 Free Zone | Statement: [Lekki Deep Sea Port, locatedIn, Lekki Free Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lekki Free Zone
Context triple: [Lekki Deep Sea Port, locatedIn, Lekki Free Zone]
  • A. Lekki Free Trade Zone chosen
    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.
  • B. Lekki
    Lekki is a rapidly developing coastal city and affluent residential and commercial hub in Lagos State, Nigeria.
  • C. Lekki
    Lekki is the official mascot character created for the XVIII Olympic Winter Games.
  • D. Lekki
    Lekki is a fictional companion mascot character associated with Nokki, likely designed as a cute, supportive sidekick figure.
  • E. Jebel Ali Free Zone
    Jebel Ali Free Zone is a major business and logistics hub in Dubai that offers tax and customs advantages to companies operating near the Jebel Ali Port.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156709288190b4684cb19037dc38 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a75f77881908345a585a689f69f completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.