Triple

T13358129
Position Surface form Disambiguated ID Type / Status
Subject Flakstadøya E318747 entity
Predicate hasSettlement P1068 FINISHED
Object Flakstad E917702 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: Flakstad | Statement: [Flakstadøya, hasSettlement, Flakstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flakstad
Context triple: [Flakstadøya, hasSettlement, Flakstad]
  • A. Flakstad chosen
    Flakstad is a small coastal municipality in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and Arctic scenery.
  • B. Fløgstad
    Fløgstad is a Norwegian surname most notably borne by the writer Kjartan Fløgstad.
  • C. Blakstad
    Blakstad is a village in Agder county, Norway, known as the main local hub for services and administration in the surrounding Froland area.
  • D. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • E. Storlien
    Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da62887e588190bd7241c720a112a2 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72677b2a48190aad30f3ee6cacefb completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:32 p.m.