Triple
T19574999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skien Municipality |
E489831
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gimsøy
Gimsøy is a district within Skien in Telemark, Norway, known primarily as a residential area with local services and community facilities.
|
E1419884
|
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: Gimsøy | Statement: [Skien Municipality, contains, Gimsøy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gimsøy Context triple: [Skien Municipality, contains, Gimsøy]
-
A.
Gimsøy
Gimsøy is a small coastal village in Norway’s Lofoten archipelago, known for its scenic landscapes and traditional fishing heritage.
-
B.
Kirkøy
Kirkøy is the main inhabited island and administrative center of Norway’s Hvaler municipality, known for its coastal scenery and role as a hub in the Hvaler archipelago.
-
C.
Varaldsøy
Varaldsøy is a large island in Vestland county, Norway, known for its scenic fjord landscape and rural communities within the municipality of Kvinnherad.
-
D.
Rolvsøy
Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
-
E.
Dillingøy
Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
- 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: Gimsøy Triple: [Skien Municipality, contains, Gimsøy]
Generated description
Gimsøy is a district within Skien in Telemark, Norway, known primarily as a residential area with local services and community facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gimsøy Target entity description: Gimsøy is a district within Skien in Telemark, Norway, known primarily as a residential area with local services and community facilities.
-
A.
Gimsøy
Gimsøy is a small coastal village in Norway’s Lofoten archipelago, known for its scenic landscapes and traditional fishing heritage.
-
B.
Kirkøy
Kirkøy is the main inhabited island and administrative center of Norway’s Hvaler municipality, known for its coastal scenery and role as a hub in the Hvaler archipelago.
-
C.
Varaldsøy
Varaldsøy is a large island in Vestland county, Norway, known for its scenic fjord landscape and rural communities within the municipality of Kvinnherad.
-
D.
Rolvsøy
Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
-
E.
Dillingøy
Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08550f1aec819083536adc943e33c2 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855a0d2448190956d254f012e6325 |
completed | May 16, 2026, 11:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0855ff8ff88190933abcb757d8699c |
completed | May 16, 2026, 11:33 a.m. |
Created at: April 10, 2026, 1:42 p.m.