Triple
T3626193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nærøyfjord |
E76844
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
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.
|
E393104
|
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: Gudvangen | Statement: [Nærøyfjord, terminus, Gudvangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gudvangen Context triple: [Nærøyfjord, terminus, Gudvangen]
-
A.
Honningsvåg
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
-
B.
Svolvær
Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
-
C.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
D.
Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
-
E.
Norheimsund
Norheimsund is a village in western Norway known as a regional center in the Hardanger region, noted for its scenic fjordside setting and proximity to the Steinsdalsfossen waterfall.
- 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: Gudvangen Triple: [Nærøyfjord, terminus, Gudvangen]
Generated description
Gudvangen is a small village in western Norway known for its dramatic fjord landscape and role as a popular tourist gateway to the Nærøyfjord.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gudvangen Target entity description: Gudvangen is a small village in western Norway known for its dramatic fjord landscape and role as a popular tourist gateway to the Nærøyfjord.
-
A.
Honningsvåg
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
-
B.
Svolvær
Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
-
C.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
D.
Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
-
E.
Norheimsund
Norheimsund is a village in western Norway known as a regional center in the Hardanger region, noted for its scenic fjordside setting and proximity to the Steinsdalsfossen waterfall.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2dc011c8190a6596f4b483fb078 |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503dbed588190abe9ca45b1ff68f8 |
completed | March 14, 2026, 6:44 a.m. |
| NEDg | Description generation | batch_69b507a2a1bc819080843ed3cbb132cb |
completed | March 14, 2026, 7 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5090e87d881908c2e84f4a6402113 |
completed | March 14, 2026, 7:06 a.m. |
Created at: March 8, 2026, 3:23 p.m.