Triple

T23427656
Position Surface form Disambiguated ID Type / Status
Subject Farsund E563237 entity
Predicate hasSettlement P1068 FINISHED
Object Farsund (town) 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: Farsund (town) | Statement: [Farsund, hasSettlement, Farsund (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farsund (town)
Context triple: [Farsund, hasSettlement, Farsund (town)]
  • A. Flekkefjord town
    Flekkefjord town is a coastal settlement in southern Norway known for its historic wooden architecture, maritime heritage, and role as a local commercial and cultural hub.
  • B. Farsund chosen
    Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
  • C. Fosnes
    Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
  • D. Førde
    Førde is a town in western Norway known as a regional service center and cultural hub, particularly recognized for its annual folk music festival.
  • E. Føresvik
    Føresvik is a small village in Rogaland county, Norway, serving as the main local hub on the island municipality of Bokn.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a54ae8ac8190b0bae2560582c904 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:48 p.m.