Triple
T15302546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvam |
E365823
|
entity |
| Predicate | includesVillage |
P4011
|
FINISHED |
| Object |
Strandebarm
Strandebarm is a small village in western Norway, situated along the Hardangerfjord in Kvam municipality in Vestland county.
|
E1147723
|
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: Strandebarm | Statement: [Kvam, includesVillage, Strandebarm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strandebarm Context triple: [Kvam, includesVillage, Strandebarm]
-
A.
Hovstranda
Hovstranda is a scenic sandy beach on the island of Gimsøya in Norway’s Lofoten archipelago, known for its coastal views and midnight sun.
-
B.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
C.
Stegesund
Stegesund is a small island in the Stockholm archipelago of Sweden, known for its scenic coastal setting and proximity to the town of Vaxholm.
-
D.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
E.
Smedvig
Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
- 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: Strandebarm Triple: [Kvam, includesVillage, Strandebarm]
Generated description
Strandebarm is a small village in western Norway, situated along the Hardangerfjord in Kvam municipality in Vestland county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strandebarm Target entity description: Strandebarm is a small village in western Norway, situated along the Hardangerfjord in Kvam municipality in Vestland county.
-
A.
Hovstranda
Hovstranda is a scenic sandy beach on the island of Gimsøya in Norway’s Lofoten archipelago, known for its coastal views and midnight sun.
-
B.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
C.
Stegesund
Stegesund is a small island in the Stockholm archipelago of Sweden, known for its scenic coastal setting and proximity to the town of Vaxholm.
-
D.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
E.
Smedvig
Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccd575c8190aa43262d3b73ef3c |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef86b8cc81909969098b1766f6b7 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69feeff83f3c8190b9ae0f7ce724b3e2 |
completed | May 9, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef0825e7c8190bb74e2e3de202883 |
completed | May 9, 2026, 8:29 a.m. |
Created at: April 10, 2026, 3:15 a.m.