Triple
T14942209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordkapp Municipality |
E372557
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kamøyvær
Kamøyvær is a small coastal fishing village in northern Norway, known for its picturesque harbor and Arctic scenery within Nordkapp Municipality.
|
E1127996
|
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: Kamøyvær | Statement: [Nordkapp Municipality, hasSettlement, Kamøyvær]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamøyvær Context triple: [Nordkapp Municipality, hasSettlement, Kamøyvær]
-
A.
Skreda
Skreda is a small village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
-
B.
Blizne
Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
-
C.
Sykkylven
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
-
D.
Hendvika
Hendvika is a small island and natural coastal area in Averøy Municipality in Møre og Romsdal county, Norway.
-
E.
Skjomåga
Skjomåga is a river in the Ofoten district of Nordland county in northern Norway, known for flowing through the Skjomen valley toward the Ofotfjord.
- 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: Kamøyvær Triple: [Nordkapp Municipality, hasSettlement, Kamøyvær]
Generated description
Kamøyvær is a small coastal fishing village in northern Norway, known for its picturesque harbor and Arctic scenery within Nordkapp Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamøyvær Target entity description: Kamøyvær is a small coastal fishing village in northern Norway, known for its picturesque harbor and Arctic scenery within Nordkapp Municipality.
-
A.
Skreda
Skreda is a small village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
-
B.
Blizne
Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
-
C.
Sykkylven
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
-
D.
Hendvika
Hendvika is a small island and natural coastal area in Averøy Municipality in Møre og Romsdal county, Norway.
-
E.
Skjomåga
Skjomåga is a river in the Ofoten district of Nordland county in northern Norway, known for flowing through the Skjomen valley toward the Ofotfjord.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e929f3881908560b8428e72327d |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe80c984288190a10abebc8c07e00d |
completed | May 9, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe818794908190a2fa686adb0575d5 |
completed | May 9, 2026, 12:36 a.m. |
Created at: April 10, 2026, 2:38 a.m.