Triple
T13147181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabelvåg |
E312369
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object |
Vågan
Vågan is a coastal municipality in Nordland county, Norway, encompassing several Lofoten islands and known for its fishing heritage and dramatic Arctic landscapes.
|
E1038571
|
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: Vågan | Statement: [Kabelvåg, municipality, Vågan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vågan Context triple: [Kabelvåg, municipality, Vågan]
-
A.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
-
B.
Telavåg
Telavåg is a small coastal village in western Norway known for the devastating Nazi reprisals carried out there during World War II.
-
C.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
D.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
E.
Gudvangen
Gudvangen is a small village in western Norway known for its dramatic fjord landscape and role as a popular tourist gateway to the Nærøyfjord.
- 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: Vågan Triple: [Kabelvåg, municipality, Vågan]
Generated description
Vågan is a coastal municipality in Nordland county, Norway, encompassing several Lofoten islands and known for its fishing heritage and dramatic Arctic landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vågan Target entity description: Vågan is a coastal municipality in Nordland county, Norway, encompassing several Lofoten islands and known for its fishing heritage and dramatic Arctic landscapes.
-
A.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
-
B.
Telavåg
Telavåg is a small coastal village in western Norway known for the devastating Nazi reprisals carried out there during World War II.
-
C.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
D.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
E.
Gudvangen
Gudvangen is a small village in western Norway known for its dramatic fjord landscape and role as a popular tourist gateway to the Nærøyfjord.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73055f0748190863f30b7771e801e |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f731f53b7c81909df8685a64fbd421 |
completed | May 3, 2026, 11:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f732785d7c8190aeeb0765bb25b9e6 |
completed | May 3, 2026, 11:33 a.m. |
Created at: April 9, 2026, 9:10 p.m.