Triple

T19479607
Position Surface form Disambiguated ID Type / Status
Subject Åsnes municipality E487344 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Flisa 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: Flisa | Statement: [Åsnes municipality, hasAdministrativeCentre, Flisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flisa
Context triple: [Åsnes municipality, hasAdministrativeCentre, Flisa]
  • A. Flisa chosen
    Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
  • B. Filisur
    Filisur is a picturesque Swiss village in the canton of Graubünden, known for its historic center and proximity to the famous Landwasser Viaduct on the Rhaetian Railway.
  • C. Filiti
    Filiti is an Italian surname most notably associated with Tony Filiti, a relative of Sylvester Stallone.
  • D. Filitosa
    Filitosa is a renowned prehistoric archaeological site in southern Corsica, famous for its Bronze Age megalithic statues and stone structures.
  • E. Fedalma
    Fedalma is a notable painting by American artist George Fuller, recognized for its evocative, romantic style and atmospheric portrayal of its female subject.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343882a88190b3cfa65e6cac80d3 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.