Triple

T12834348
Position Surface form Disambiguated ID Type / Status
Subject Coker E306868 entity
Predicate localArea P104351 FINISHED
Object Surulere E59532 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: Surulere | Statement: [Coker, localArea, Surulere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surulere
Context triple: [Coker, localArea, Surulere]
  • A. Surulere chosen
    Surulere is a bustling residential and commercial district on Lagos Mainland in Nigeria, known for its vibrant markets, entertainment scene, and dense urban neighborhoods.
  • B. Somolu
    Somolu is a densely populated residential and commercial district in Lagos, Nigeria, known for its printing industry and vibrant urban life.
  • C. Serua
    Serua is a small volcanic island in Indonesia’s Banda Sea, known for its steep terrain, active geology, and remote location within the Banda Arc.
  • D. Iluka
    Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
  • E. Omolu
    Omolu is an orixá in Afro-Brazilian religion, particularly revered as a powerful deity of disease, healing, and the dead.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb1c7248190bb6e644e041d192e completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0e0e90881908f6e523754107e75 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:34 p.m.