Triple
T15844994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helgeland coast |
E384191
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Lovund
Lovund is a small Norwegian island in Nordland county, known for its dramatic coastal scenery and large puffin colony.
|
E1179814
|
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: Lovund | Statement: [Helgeland coast, hasIsland, Lovund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovund Context triple: [Helgeland coast, hasIsland, Lovund]
-
A.
Tyvholm
Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
-
B.
Lödöse
Lödöse is a historic Swedish town that was one of the country’s earliest and most important medieval trading centers, located in the province of Västergötland.
-
C.
Lugnvik
Lugnvik is a residential area and locality within Östersund Municipality in central Sweden, known for its proximity to Lake Storsjön and the city of Östersund.
-
D.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
-
E.
Valbo
Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
- 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: Lovund Triple: [Helgeland coast, hasIsland, Lovund]
Generated description
Lovund is a small Norwegian island in Nordland county, known for its dramatic coastal scenery and large puffin colony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lovund Target entity description: Lovund is a small Norwegian island in Nordland county, known for its dramatic coastal scenery and large puffin colony.
-
A.
Tyvholm
Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
-
B.
Lödöse
Lödöse is a historic Swedish town that was one of the country’s earliest and most important medieval trading centers, located in the province of Västergötland.
-
C.
Lugnvik
Lugnvik is a residential area and locality within Östersund Municipality in central Sweden, known for its proximity to Lake Storsjön and the city of Östersund.
-
D.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
-
E.
Valbo
Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
- 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_69ffa1412c9481909808473e14058033 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa419c6dc81908c9678f8434530f8 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa4cff5088190a7f11fd62941f4fb |
completed | May 9, 2026, 9:19 p.m. |
Created at: April 10, 2026, 4:50 a.m.