Triple

T17847570
Position Surface form Disambiguated ID Type / Status
Subject Flesberg E445703 entity
Predicate hasSettlement P1068 FINISHED
Object Lampeland NE NERFINISHED

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: Lampeland | Statement: [Flesberg, hasSettlement, Lampeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lampeland
Context triple: [Flesberg, hasSettlement, Lampeland]
  • A. Lampeland chosen
    Lampeland is a small village in Buskerud, Norway, known as the main local hub of the rural Flesberg municipality.
  • B. Wallaceville
    Wallaceville is a residential suburb located within the Hutt Valley region near Wellington, New Zealand.
  • C. Baysville
    Baysville is a small rural community in Ontario, Canada, known for its scenic lakeside setting and role as a cottage-country destination within the Muskoka region.
  • D. Glen Haven
    Glen Haven is a small community located within the Township of South Dundas in eastern Ontario, Canada.
  • E. Parkeston
    Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffc5fec8190adc66f7b0e264d5f completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.