Triple

T15216817
Position Surface form Disambiguated ID Type / Status
Subject Sogn og Fjordane traditional district E363656 entity
Predicate hasWaterBody P165 FINISHED
Object Nordfjord E75232 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: Nordfjord | Statement: [Sogn og Fjordane traditional district, hasWaterBody, Nordfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordfjord
Context triple: [Sogn og Fjordane traditional district, hasWaterBody, Nordfjord]
  • A. Nordfjord chosen
    Nordfjord is a major fjord and surrounding district in Vestland county, Western Norway, known for its dramatic coastal scenery, glaciers, and mountainous landscapes.
  • B. Sunnfjord
    Sunnfjord is a district in Vestland county in Western Norway, known for its fjords, valleys, and traditional rural communities.
  • C. Ofotfjord
    Ofotfjord is a dramatic fjord in northern Norway near Narvik, known for its strategic importance and as a key site of naval operations during World War II.
  • D. Vindafjord
    Vindafjord is a coastal municipality in southwestern Norway known for its fjords, maritime industries, and rural landscapes.
  • E. Lyngenfjord
    Lyngenfjord is a dramatic fjord in northern Norway renowned for its steep mountains, glaciers, and popular opportunities for hiking, skiing, and Northern Lights viewing.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb168548190afb975ef60fa5f3e completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 3:11 a.m.