Triple
T15751198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salten |
E381847
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Landegode
Landegode is a scenic Norwegian island in Nordland county, known for its rugged coastline, lighthouse, and views toward the nearby city of Bodø.
|
E1175949
|
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: Landegode | Statement: [Salten, hasIsland, Landegode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landegode Context triple: [Salten, hasIsland, Landegode]
-
A.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
B.
Bygland
Bygland is a rural municipality in southern Norway known for its location along the Setesdal valley and the Byglandsfjorden lake.
-
C.
Länder
Länder are the individual federal states that make up the Federal Republic of Germany, each with its own government and significant legislative powers.
-
D.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
-
E.
Lokve
Lokve is a small mountain town in Croatia’s Gorski Kotar region, known for its forests, lakes, and outdoor recreation.
- 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: Landegode Triple: [Salten, hasIsland, Landegode]
Generated description
Landegode is a scenic Norwegian island in Nordland county, known for its rugged coastline, lighthouse, and views toward the nearby city of Bodø.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Landegode Target entity description: Landegode is a scenic Norwegian island in Nordland county, known for its rugged coastline, lighthouse, and views toward the nearby city of Bodø.
-
A.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
B.
Bygland
Bygland is a rural municipality in southern Norway known for its location along the Setesdal valley and the Byglandsfjorden lake.
-
C.
Länder
Länder are the individual federal states that make up the Federal Republic of Germany, each with its own government and significant legislative powers.
-
D.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
-
E.
Lokve
Lokve is a small mountain town in Croatia’s Gorski Kotar region, known for its forests, lakes, and outdoor recreation.
- 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_69ff876d48588190afec7722cca25633 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff8b6c44d081908e35ca17b5ce2189 |
completed | May 9, 2026, 7:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8ca1c1f08190aeb6f7421d54c2de |
completed | May 9, 2026, 7:36 p.m. |
Created at: April 10, 2026, 4:47 a.m.