Triple

T20018789
Position Surface form Disambiguated ID Type / Status
Subject Rissa (former municipality) E494791 entity
Predicate hasSettlement P1068 FINISHED
Object Fevåg 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: Fevåg | Statement: [Rissa (former municipality), hasSettlement, Fevåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fevåg
Context triple: [Rissa (former municipality), hasSettlement, Fevåg]
  • A. Fevåg chosen
    Fevåg is a small coastal village in Trøndelag county, Norway, known for its scenic fjord landscape and maritime setting.
  • B. Furore
    Furore is a small coastal village on Italy’s Amalfi Coast, known for its dramatic fjord-like inlet, cliffside houses, and scenic Mediterranean views.
  • C. Fruängen
    Fruängen is a Stockholm metro station on the red line, serving as the terminus of one of its southern branches in the Fruängen district.
  • D. Veckatimest
    Veckatimest is a critically acclaimed 2009 indie rock album by American band Grizzly Bear, known for its intricate arrangements and lush harmonies.
  • E. Därligen
    Därligen is a small Swiss village and municipality on the southern shore of Lake Thun in the canton of Bern.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623e40748190b1abb0ead9acab4e completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.