Triple
T20018154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rauma |
E494776
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Vågstranda
Vågstranda is a small village in Rauma Municipality in Møre og Romsdal county, Norway, situated along the Romsdalsfjord.
|
E1407170
|
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: Vågstranda | Statement: [Rauma, hasSettlement, Vågstranda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vågstranda Context triple: [Rauma, hasSettlement, Vågstranda]
-
A.
Náströnd
Náströnd is a grim shore in Norse mythology where the souls of the most wicked are punished in a hall woven of serpents and dripping venom.
-
B.
Stranda
Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
-
C.
Rambergstranda
Rambergstranda is a scenic white-sand beach on the island of Flakstadøya in Norway’s Lofoten archipelago, known for its dramatic mountain backdrop and clear turquoise waters.
-
D.
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.
-
E.
Varberg
Varberg is a coastal town in southwestern Sweden known for its historic fortress, sandy beaches, and popular seaside spa culture.
- 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: Vågstranda Triple: [Rauma, hasSettlement, Vågstranda]
Generated description
Vågstranda is a small village in Rauma Municipality in Møre og Romsdal county, Norway, situated along the Romsdalsfjord.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vågstranda Target entity description: Vågstranda is a small village in Rauma Municipality in Møre og Romsdal county, Norway, situated along the Romsdalsfjord.
-
A.
Náströnd
Náströnd is a grim shore in Norse mythology where the souls of the most wicked are punished in a hall woven of serpents and dripping venom.
-
B.
Stranda
Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
-
C.
Rambergstranda
Rambergstranda is a scenic white-sand beach on the island of Flakstadøya in Norway’s Lofoten archipelago, known for its dramatic mountain backdrop and clear turquoise waters.
-
D.
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.
-
E.
Varberg
Varberg is a coastal town in southwestern Sweden known for its historic fortress, sandy beaches, and popular seaside spa culture.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623d76808190988990a8dc263ef7 |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e286230819097e564d028e73ab5 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080ef87f08819091b4a76009b1c4ba |
completed | May 16, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f8bb81c819098d39ad6e1642aa8 |
completed | May 16, 2026, 6:32 a.m. |
Created at: April 11, 2026, 3:34 p.m.