Triple
T3517915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardangerfjord |
E74351
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Kvinnherad
Kvinnherad is a municipality in Vestland county, Norway, known for its dramatic fjord landscape, waterfalls, and proximity to the Hardangerfjord.
|
E365824
|
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: Kvinnherad | Statement: [Hardangerfjord, passesThrough, Kvinnherad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvinnherad Context triple: [Hardangerfjord, passesThrough, Kvinnherad]
-
A.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
B.
Kristinestad
Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
-
C.
Kongsvinger
Kongsvinger is a town and municipality in Innlandet county, Norway, known for its historic fortress overlooking the Glomma River and its role as a regional center near the Swedish border.
-
D.
Bolnes
Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
-
E.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
- 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: Kvinnherad Triple: [Hardangerfjord, passesThrough, Kvinnherad]
Generated description
Kvinnherad is a municipality in Vestland county, Norway, known for its dramatic fjord landscape, waterfalls, and proximity to the Hardangerfjord.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kvinnherad Target entity description: Kvinnherad is a municipality in Vestland county, Norway, known for its dramatic fjord landscape, waterfalls, and proximity to the Hardangerfjord.
-
A.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
B.
Kristinestad
Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
-
C.
Kongsvinger
Kongsvinger is a town and municipality in Innlandet county, Norway, known for its historic fortress overlooking the Glomma River and its role as a regional center near the Swedish border.
-
D.
Bolnes
Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
-
E.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc32f90081908960acb3e94402be |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e80cd588190ae012f151ef59c52 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37ef902208190842ddbe6427ca42b |
completed | March 13, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b382b43b708190be7ae3d44b0a393a |
completed | March 13, 2026, 3:21 a.m. |
Created at: March 8, 2026, 3:19 p.m.