Triple
T7954583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordfjordeid |
E184699
|
entity |
| Predicate | regionalCenterOf |
P3877
|
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: [Nordfjordeid, regionalCenterOf, Nordfjord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordfjord Context triple: [Nordfjordeid, regionalCenterOf, 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.
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.
-
C.
Vindafjord
Vindafjord is a coastal municipality in southwestern Norway known for its fjords, maritime industries, and rural landscapes.
-
D.
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.
-
E.
Hardangerfjord
Hardangerfjord is one of Norway’s longest and most scenic fjords, renowned for its dramatic mountains, waterfalls, and fruit orchards.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5f74308190aa63a22c3d5feacc |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd672cb3288190af4f951e65e8d67e |
completed | April 1, 2026, 6:42 p.m. |
Created at: March 30, 2026, 5:11 p.m.