Triple
T15244654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurtigruten AS |
E364347
|
entity |
| Predicate | hasShip |
P14595
|
FINISHED |
| Object |
MS Nordkapp
MS Nordkapp is a Norwegian coastal passenger and cruise ship operated on the Hurtigruten route along Norway’s coastline.
|
E1145548
|
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 Nordkapp | Statement: [Hurtigruten AS, hasShip, MS Nordkapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MS Nordkapp Context triple: [Hurtigruten AS, hasShip, MS Nordkapp]
-
A.
Sørvågen
Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
-
B.
Tjeldsundet
Tjeldsundet is a narrow strait in northern Norway that separates the islands of Hinnøya and Tjeldøya and connects the Ofotfjorden with the open sea.
-
C.
Port of Narvik
The Port of Narvik is a major ice-free deep-water harbor in northern Norway that serves as a key export hub for iron ore and other cargo from Scandinavia.
-
D.
Nordvågen
Nordvågen is a small coastal fishing village in northern Norway, located on the island of Magerøya in Troms og Finnmark county.
-
E.
Kong Oscar Fjord
Kong Oscar Fjord is a large fjord system in eastern Greenland known for its dramatic Arctic landscapes and significant geological exposures.
- 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 Nordkapp Triple: [Hurtigruten AS, hasShip, MS Nordkapp]
Generated description
MS Nordkapp is a Norwegian coastal passenger and cruise ship operated on the Hurtigruten route along Norway’s coastline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MS Nordkapp Target entity description: MS Nordkapp is a Norwegian coastal passenger and cruise ship operated on the Hurtigruten route along Norway’s coastline.
-
A.
Sørvågen
Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
-
B.
Tjeldsundet
Tjeldsundet is a narrow strait in northern Norway that separates the islands of Hinnøya and Tjeldøya and connects the Ofotfjorden with the open sea.
-
C.
Port of Narvik
The Port of Narvik is a major ice-free deep-water harbor in northern Norway that serves as a key export hub for iron ore and other cargo from Scandinavia.
-
D.
Nordvågen
Nordvågen is a small coastal fishing village in northern Norway, located on the island of Magerøya in Troms og Finnmark county.
-
E.
Kong Oscar Fjord
Kong Oscar Fjord is a large fjord system in eastern Greenland known for its dramatic Arctic landscapes and significant geological exposures.
- 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_69fedd461cf08190a506aac2f0cec83a |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedf6ee3f081909553078cd3e9d243 |
completed | May 9, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee0016a088190ad87268e035f677e |
completed | May 9, 2026, 7:19 a.m. |
Created at: April 10, 2026, 3:13 a.m.