Triple
T16502990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloppen Municipality |
E400844
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Hylen
Hylen is a small village located within Gloppen Municipality in Vestland county, western Norway.
|
E1216901
|
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: Hylen | Statement: [Gloppen Municipality, containsSettlement, Hylen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hylen Context triple: [Gloppen Municipality, containsSettlement, Hylen]
-
A.
Nylund
Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
-
B.
Holtaness
Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
-
C.
Ulvik
Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
-
D.
Brynseng
Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
-
E.
Iveland
Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
- 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: Hylen Triple: [Gloppen Municipality, containsSettlement, Hylen]
Generated description
Hylen is a small village located within Gloppen Municipality in Vestland county, western Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hylen Target entity description: Hylen is a small village located within Gloppen Municipality in Vestland county, western Norway.
-
A.
Nylund
Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
-
B.
Holtaness
Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
-
C.
Ulvik
Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
-
D.
Brynseng
Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
-
E.
Iveland
Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e50436c8190836a1bc2baa188b1 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582e6e288190825af8758097e325 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059cb0e8c81908745e5f5a1c64117 |
completed | May 10, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005ab310f481909193c5c5fe322d2a |
completed | May 10, 2026, 10:15 a.m. |
Created at: April 10, 2026, 5:14 a.m.