Triple

T16027194
Position Surface form Disambiguated ID Type / Status
Subject Bremanger E388745 entity
Predicate hasCoastlineOn P212 FINISHED
Object Frøysjøen E1172891 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: Frøysjøen | Statement: [Bremanger, hasCoastlineOn, Frøysjøen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frøysjøen
Context triple: [Bremanger, hasCoastlineOn, Frøysjøen]
  • A. Frøysjøen chosen
    Frøysjøen is a coastal fjord or sea area in western Norway, situated below the towering cliff of Hornelen.
  • B. Sjusjøen
    Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
  • C. Hemnessjøen
    Hemnessjøen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
  • D. Femsjøen
    Femsjøen is a lake in southeastern Norway that forms part of the Halden watercourse system and is known for its natural scenery and recreational opportunities.
  • E. Hurdalssjøen
    Hurdalssjøen is a large freshwater lake in eastern Norway, known for its scenic surroundings and recreational activities such as swimming, fishing, and boating.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01afd6121081908345fe7dd941c780 completed May 11, 2026, 10:30 a.m.
Created at: April 10, 2026, 4:56 a.m.