Triple
T15360445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haram |
E367274
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object |
Haramsøya
Haramsøya is a small Norwegian island in Møre og Romsdal county, known for its coastal scenery, fishing community, and wind farm development.
|
E1169026
|
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: Haramsøya | Statement: [Haram, containsIsland, Haramsøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haramsøya Context triple: [Haram, containsIsland, Haramsøya]
-
A.
Huftarøy
Huftarøy is the main and largest island of the Austevoll municipality in Vestland county, Norway, known for its coastal landscapes and fishing communities.
-
B.
Halsnøy
Halsnøy is a large island in Vestland county, Norway, known for its scenic landscapes and historical sites including the medieval Halsnøy Abbey.
-
C.
Helgøya
Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
-
D.
Algrøyna
Algrøyna is a small Norwegian island located off the west coast in Vestland county, known for its rugged coastline and traditional coastal settlements.
-
E.
Snarøya
Snarøya is a peninsula and residential area in the municipality of Bærum in Viken county, Norway, known for its coastal location and proximity to Oslo.
- 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: Haramsøya Triple: [Haram, containsIsland, Haramsøya]
Generated description
Haramsøya is a small Norwegian island in Møre og Romsdal county, known for its coastal scenery, fishing community, and wind farm development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haramsøya Target entity description: Haramsøya is a small Norwegian island in Møre og Romsdal county, known for its coastal scenery, fishing community, and wind farm development.
-
A.
Huftarøy
Huftarøy is the main and largest island of the Austevoll municipality in Vestland county, Norway, known for its coastal landscapes and fishing communities.
-
B.
Halsnøy
Halsnøy is a large island in Vestland county, Norway, known for its scenic landscapes and historical sites including the medieval Halsnøy Abbey.
-
C.
Helgøya
Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
-
D.
Algrøyna
Algrøyna is a small Norwegian island located off the west coast in Vestland county, known for its rugged coastline and traditional coastal settlements.
-
E.
Snarøya
Snarøya is a peninsula and residential area in the municipality of Bærum in Viken county, Norway, known for its coastal location and proximity to Oslo.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677ef27c81909fd160205b71ca55 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff67f64d2c81908fd2d8a09cd0b369 |
completed | May 9, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6888a85481909e8cdd34ed230fa4 |
completed | May 9, 2026, 5:02 p.m. |
Created at: April 10, 2026, 3:18 a.m.