Triple

T12099283
Position Surface form Disambiguated ID Type / Status
Subject Lekki–Ikoyi Link Bridge E288148 entity
Predicate regionServed P82 FINISHED
Object Lekki corridor 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 corridor | Statement: [Lekki–Ikoyi Link Bridge, regionServed, Lekki corridor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lekki corridor
Context triple: [Lekki–Ikoyi Link Bridge, regionServed, Lekki corridor]
  • 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–Epe Expressway
    The Lekki–Epe Expressway is a major arterial highway in Lagos State, Nigeria, connecting the Lekki Peninsula to Epe and serving as a key route for commuters and regional development.
  • E. Awolowo Road
    Awolowo Road is a major thoroughfare in Lagos, Nigeria, known for its commercial activity, government offices, and cultural landmarks.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7140c4819086a2dcb2cf334963 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.