Triple
T13555581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimsøya |
E323763
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Barstrand
Barstrand is a small coastal settlement on the island of Gimsøya in Norway’s Lofoten archipelago.
|
E1059817
|
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: Barstrand | Statement: [Gimsøya, hasSettlement, Barstrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barstrand Context triple: [Gimsøya, hasSettlement, Barstrand]
-
A.
Marstrand
Marstrand is a historic seaside town and popular sailing destination on Sweden’s west coast, known for its fortress and picturesque archipelago setting.
-
B.
Balestrand
Balestrand is a picturesque village in western Norway known for its fjordside scenery, historic wooden hotels, and role as a gateway to exploring the Sognefjord region.
-
C.
Stranda
Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
-
D.
Ersfjordstranda
Ersfjordstranda is a scenic white-sand beach on the island of Senja in northern Norway, known for its dramatic mountain backdrop and popularity as a coastal viewpoint.
-
E.
Farsund
Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
- 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: Barstrand Triple: [Gimsøya, hasSettlement, Barstrand]
Generated description
Barstrand is a small coastal settlement on the island of Gimsøya in Norway’s Lofoten archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barstrand Target entity description: Barstrand is a small coastal settlement on the island of Gimsøya in Norway’s Lofoten archipelago.
-
A.
Marstrand
Marstrand is a historic seaside town and popular sailing destination on Sweden’s west coast, known for its fortress and picturesque archipelago setting.
-
B.
Balestrand
Balestrand is a picturesque village in western Norway known for its fjordside scenery, historic wooden hotels, and role as a gateway to exploring the Sognefjord region.
-
C.
Stranda
Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
-
D.
Ersfjordstranda
Ersfjordstranda is a scenic white-sand beach on the island of Senja in northern Norway, known for its dramatic mountain backdrop and popularity as a coastal viewpoint.
-
E.
Farsund
Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff3063c8190bd20149b3f7df352 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a838581c819092a195f60673b743 |
completed | May 3, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69f7a9f5549c81908a1a0b080acc3396 |
completed | May 3, 2026, 8:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aafceea881908737a3d7613db2d5 |
completed | May 3, 2026, 8:07 p.m. |
Created at: April 9, 2026, 9:47 p.m.