Triple

T15663958
Position Surface form Disambiguated ID Type / Status
Subject Eidfjord E376637 entity
Predicate hasPart P35 FINISHED
Object Øvre Eidfjord E376637 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: Øvre Eidfjord | Statement: [Eidfjord, hasPart, Øvre Eidfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Øvre Eidfjord
Context triple: [Eidfjord, hasPart, Øvre Eidfjord]
  • A. Eidfjord chosen
    Eidfjord is a small Norwegian village and municipality in Vestland county, known for its dramatic fjord landscape, waterfalls, and status as a popular cruise and tourist destination.
  • B. Nordfjord
    Nordfjord is a major fjord and surrounding district in Vestland county, Western Norway, known for its dramatic coastal scenery, glaciers, and mountainous landscapes.
  • C. Sunnfjord
    Sunnfjord is a district in Vestland county in Western Norway, known for its fjords, valleys, and traditional rural communities.
  • D. Fanefjord
    Fanefjord is a small village on the Danish island of Møn, known for its historic countryside setting and proximity to the medieval Fanefjord Church.
  • E. Flekkefjord
    Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0f4df08190ad2c5d78e435d8eb completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7c2a6081908e957d39ec056062 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:16 a.m.