Triple
T15844992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helgeland coast |
E384191
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Dønna
Dønna is a scenic island municipality in Nordland county, Norway, known for its rugged coastline, fishing communities, and views of the Helgeland archipelago.
|
E1284633
|
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: Dønna | Statement: [Helgeland coast, hasIsland, Dønna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dønna Context triple: [Helgeland coast, hasIsland, Dønna]
-
A.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
B.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
C.
Tingvoll
Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
-
D.
Brårud
Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
-
E.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
- 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: Dønna Triple: [Helgeland coast, hasIsland, Dønna]
Generated description
Dønna is a scenic island municipality in Nordland county, Norway, known for its rugged coastline, fishing communities, and views of the Helgeland archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dønna Target entity description: Dønna is a scenic island municipality in Nordland county, Norway, known for its rugged coastline, fishing communities, and views of the Helgeland archipelago.
-
A.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
B.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
C.
Tingvoll
Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
-
D.
Brårud
Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
-
E.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142eb20088190bb45e37ce3291ef2 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023005e760819081b723a7246c78ce |
completed | May 11, 2026, 7:37 p.m. |
| NEDg | Description generation | batch_6a023121d7b88190bd832d41f47c3fdd |
completed | May 11, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02357111388190a0c7bc7ae7ca1a1b |
completed | May 11, 2026, 8 p.m. |
Created at: April 10, 2026, 4:50 a.m.