Triple
T15244657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurtigruten AS |
E364347
|
entity |
| Predicate | hasShip |
P14595
|
FINISHED |
| Object |
MS Nordnorge
MS Nordnorge is a Norwegian coastal passenger and cruise ship operated on the Hurtigruten coastal route, known for voyages along Norway’s fjords and Arctic coastline.
|
E1146198
|
NE FINISHED |
How this triple was built (4 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: MS Nordnorge | Statement: [Hurtigruten AS, hasShip, MS Nordnorge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MS Nordnorge Context triple: [Hurtigruten AS, hasShip, MS Nordnorge]
-
A.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
B.
MS Nordkapp
MS Nordkapp is a Norwegian coastal passenger and cruise ship operated on the Hurtigruten route along Norway’s coastline.
-
C.
Randesund
Randesund is a coastal district of Kristiansand in southern Norway, known for its scenic archipelago, beaches, and recreational outdoor areas.
-
D.
Nordre Land
Nordre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and agricultural landscape in the traditional district of Land.
-
E.
Nord-Sel
Nord-Sel is a small village in Innlandet county, Norway, situated within the mountainous Sel municipality in the Gudbrandsdalen valley.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MS Nordnorge Triple: [Hurtigruten AS, hasShip, MS Nordnorge]
Generated description
MS Nordnorge is a Norwegian coastal passenger and cruise ship operated on the Hurtigruten coastal route, known for voyages along Norway’s fjords and Arctic coastline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MS Nordnorge Target entity description: MS Nordnorge is a Norwegian coastal passenger and cruise ship operated on the Hurtigruten coastal route, known for voyages along Norway’s fjords and Arctic coastline.
-
A.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
B.
MS Nordkapp
MS Nordkapp is a Norwegian coastal passenger and cruise ship operated on the Hurtigruten route along Norway’s coastline.
-
C.
Randesund
Randesund is a coastal district of Kristiansand in southern Norway, known for its scenic archipelago, beaches, and recreational outdoor areas.
-
D.
Nordre Land
Nordre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and agricultural landscape in the traditional district of Land.
-
E.
Nord-Sel
Nord-Sel is a small village in Innlandet county, Norway, situated within the mountainous Sel municipality in the Gudbrandsdalen valley.
- F. None of above. chosen
Provenance (5 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f184d481909eb4294ee3648226 |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee7eabf908190b9248f397319eb6b |
completed | May 9, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee83bbff481908e297e2c4b2811fb |
completed | May 9, 2026, 7:54 a.m. |
Created at: April 10, 2026, 3:13 a.m.