Triple

T12110642
Position Surface form Disambiguated ID Type / Status
Subject Epe Local Government Council E288419 entity
Predicate locatedIn P40 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: [Epe Local Government Council, locatedIn, Epe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epe
Context triple: [Epe Local Government Council, locatedIn, 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_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_69f62a7fd708819090af422a60a69859 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:49 p.m.