Triple

T12099351
Position Surface form Disambiguated ID Type / Status
Subject Lekki E288149 entity
Predicate hasAttraction P105 FINISHED
Object Elegushi Beach E328114 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: Elegushi Beach | Statement: [Lekki, hasAttraction, Elegushi Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elegushi Beach
Context triple: [Lekki, hasAttraction, Elegushi Beach]
  • A. Elegushi Beach chosen
    Elegushi Beach is a popular privately owned seaside destination in Lagos, Nigeria, known for its lively nightlife, music events, and recreational activities along the Atlantic coast.
  • B. Pounda Beach
    Pounda Beach is a popular sandy beach on the Greek island of Paros, known for its clear waters, water sports, and lively summer atmosphere.
  • C. Sarakiniko Beach
    Sarakiniko Beach is a strikingly unique coastal area on the Greek island of Milos, famous for its smooth white volcanic rock formations that resemble a lunar landscape.
  • D. Tarkwa Bay Beach
    Tarkwa Bay Beach is a sheltered, man-made beach on an island near Lagos, Nigeria, popular for swimming, surfing, and boat-accessible seaside relaxation.
  • E. Mambo Beach
    Mambo Beach is a popular sandy beach and entertainment area in Curaçao known for its clear waters, beach clubs, restaurants, and vibrant nightlife.
  • 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_69f5f6724de481909fe29e3278136ea2 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.