Triple

T11578705
Position Surface form Disambiguated ID Type / Status
Subject Lagos Lagoon E274569 entity
Predicate cityOnBodyOfWater P969 FINISHED
Object Epe E56488 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: Epe | Statement: [Lagos Lagoon, cityOnBodyOfWater, Epe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epe
Context triple: [Lagos Lagoon, cityOnBodyOfWater, Epe]
  • A. Epe chosen
    Epe is a coastal town and local government area in Lagos State, Nigeria, known for its fishing communities, markets, and proximity to the Lekki Lagoon.
  • B. Epe
    Epe is a district of the town Gronau in North Rhine-Westphalia, Germany, known for its proximity to the Dutch border and its mix of residential areas and local industry.
  • C. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • D. Oenpelli
    Oenpelli is a remote Aboriginal community in Australia’s Northern Territory, known for its rich Indigenous culture and rock art in western Arnhem Land.
  • E. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e714080a60819095205355776c8637 completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.