Triple

T15596693
Position Surface form Disambiguated ID Type / Status
Subject Bramsche E374909 entity
Predicate hasSubdivision P747 FINISHED
Object Epe E604614 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: [Bramsche, hasSubdivision, Epe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epe
Context triple: [Bramsche, hasSubdivision, Epe]
  • A. Epe
    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 chosen
    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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5f9db8819083abf80f01f32b3d completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ca72ec8190a237db843dc6d625 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.