Triple
T15751188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salten |
E381847
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gildeskål
Gildeskål is a coastal municipality in Nordland county, Norway, known for its fishing communities, scenic islands, and historic stone church.
|
E1183936
|
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: Gildeskål | Statement: [Salten, contains, Gildeskål]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gildeskål Context triple: [Salten, contains, Gildeskål]
-
A.
Skarsvåg
Skarsvåg is a small fishing village in northern Norway often noted as one of the world’s northernmost permanently inhabited settlements.
-
B.
Knarrviki
Knarrviki is a village in Vestland county, Norway, serving as the main local hub and seat of government for Alver Municipality.
-
C.
Skudeneshavn
Skudeneshavn is a historic coastal town in southwestern Norway known for its well-preserved wooden architecture and maritime heritage.
-
D.
Breiðholt
Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
-
E.
Mosterhamn
Mosterhamn is a coastal village in Vestland county, Norway, known for its maritime heritage and historic church site.
- 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: Gildeskål Triple: [Salten, contains, Gildeskål]
Generated description
Gildeskål is a coastal municipality in Nordland county, Norway, known for its fishing communities, scenic islands, and historic stone church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gildeskål Target entity description: Gildeskål is a coastal municipality in Nordland county, Norway, known for its fishing communities, scenic islands, and historic stone church.
-
A.
Skarsvåg
Skarsvåg is a small fishing village in northern Norway often noted as one of the world’s northernmost permanently inhabited settlements.
-
B.
Knarrviki
Knarrviki is a village in Vestland county, Norway, serving as the main local hub and seat of government for Alver Municipality.
-
C.
Skudeneshavn
Skudeneshavn is a historic coastal town in southwestern Norway known for its well-preserved wooden architecture and maritime heritage.
-
D.
Breiðholt
Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
-
E.
Mosterhamn
Mosterhamn is a coastal village in Vestland county, Norway, known for its maritime heritage and historic church site.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59779788190a393237f5293fe8d |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb62f3d8881908ede4a9a4b53bef2 |
completed | May 9, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb6f3154481909632913f4d7cfdba |
completed | May 9, 2026, 10:36 p.m. |
Created at: April 10, 2026, 4:47 a.m.