Triple
T16027250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vågsøy |
E388746
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Bryggja
Bryggja is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
|
E1189215
|
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: Bryggja | Statement: [Vågsøy, hasVillage, Bryggja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bryggja Context triple: [Vågsøy, hasVillage, Bryggja]
-
A.
Hjelteryggen
Hjelteryggen is a small settlement located in Fjell municipality in Vestland county on the western coast of Norway.
-
B.
Gildeskål
Gildeskål is a coastal municipality in Nordland county, Norway, known for its fishing communities, scenic islands, and historic stone church.
-
C.
Skibotn
Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
-
D.
Skudeneshavn
Skudeneshavn is a historic coastal town in southwestern Norway known for its well-preserved wooden architecture and maritime heritage.
-
E.
Sjøbadet
Sjøbadet is a popular public beach and recreational seaside area in the coastal town of Moss, Norway.
- 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: Bryggja Triple: [Vågsøy, hasVillage, Bryggja]
Generated description
Bryggja is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bryggja Target entity description: Bryggja is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
-
A.
Hjelteryggen
Hjelteryggen is a small settlement located in Fjell municipality in Vestland county on the western coast of Norway.
-
B.
Gildeskål
Gildeskål is a coastal municipality in Nordland county, Norway, known for its fishing communities, scenic islands, and historic stone church.
-
C.
Skibotn
Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
-
D.
Skudeneshavn
Skudeneshavn is a historic coastal town in southwestern Norway known for its well-preserved wooden architecture and maritime heritage.
-
E.
Sjøbadet
Sjøbadet is a popular public beach and recreational seaside area in the coastal town of Moss, Norway.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf33c6a881909284933ea3b7dd6e |
completed | May 10, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69ffd01d545c8190a96cd888223c7fa9 |
completed | May 10, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0b3d4b08190b1be30954d5d76c0 |
completed | May 10, 2026, 12:26 a.m. |
Created at: April 10, 2026, 4:56 a.m.