Triple
T15302607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvinnherad |
E365824
|
entity |
| Predicate | containsValley |
P650
|
FINISHED |
| Object |
Bondhusdalen
Bondhusdalen is a scenic glacial valley in western Norway, renowned for its dramatic landscapes, hiking trails, and views of the Bondhusbreen glacier.
|
E1157048
|
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: Bondhusdalen | Statement: [Kvinnherad, containsValley, Bondhusdalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bondhusdalen Context triple: [Kvinnherad, containsValley, Bondhusdalen]
-
A.
Fyllingsdalen
Fyllingsdalen is a borough of Bergen, Norway, known as a residential district located southwest of the city center.
-
B.
Østerdalen
Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
-
C.
Tromsdalen
Tromsdalen is a residential valley and neighborhood area in Tromsø, Norway, known for its scenic setting across from Tromsøya island and landmarks like the Arctic Cathedral.
-
D.
Sørkedalen
Sørkedalen is a rural valley area in the northwest of Oslo, Norway, known for its forests, farms, and outdoor recreation opportunities.
-
E.
Nydalen
Nydalen is a modern riverside neighborhood in Oslo, Norway, known for its business district, educational institutions, and redeveloped industrial areas.
- 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: Bondhusdalen Triple: [Kvinnherad, containsValley, Bondhusdalen]
Generated description
Bondhusdalen is a scenic glacial valley in western Norway, renowned for its dramatic landscapes, hiking trails, and views of the Bondhusbreen glacier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bondhusdalen Target entity description: Bondhusdalen is a scenic glacial valley in western Norway, renowned for its dramatic landscapes, hiking trails, and views of the Bondhusbreen glacier.
-
A.
Fyllingsdalen
Fyllingsdalen is a borough of Bergen, Norway, known as a residential district located southwest of the city center.
-
B.
Østerdalen
Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
-
C.
Tromsdalen
Tromsdalen is a residential valley and neighborhood area in Tromsø, Norway, known for its scenic setting across from Tromsøya island and landmarks like the Arctic Cathedral.
-
D.
Sørkedalen
Sørkedalen is a rural valley area in the northwest of Oslo, Norway, known for its forests, farms, and outdoor recreation opportunities.
-
E.
Nydalen
Nydalen is a modern riverside neighborhood in Oslo, Norway, known for its business district, educational institutions, and redeveloped industrial areas.
- 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_69ff21945b60819098ea91d9693cb8e3 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff225ba3bc8190b57da931ffa240fe |
completed | May 9, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2339ae808190bf2d4676215399c0 |
completed | May 9, 2026, 12:06 p.m. |
Created at: April 10, 2026, 3:15 a.m.