Triple
T15216739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sogn region |
E363655
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Årdalstangen
Årdalstangen is a village in Vestland county, Norway, known for its industrial activity and location at the end of the Årdalsfjorden.
|
E1143518
|
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: Årdalstangen | Statement: [Sogn region, containsSettlement, Årdalstangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Årdalstangen Context triple: [Sogn region, containsSettlement, Årdalstangen]
-
A.
Setesdalsheiene
Setesdalsheiene is a mountainous plateau region in southern Norway known for its rugged terrain, hiking opportunities, and traditional upland landscapes.
-
B.
Tallkrogen
Tallkrogen is a residential district in southern Stockholm, Sweden, known for its small-scale housing and garden-city character.
-
C.
Trolltunga
Trolltunga is a dramatic rock formation jutting horizontally from a mountain above Lake Ringedalsvatnet in Norway, famous as a challenging hiking destination and iconic photo spot.
-
D.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
E.
Skarvehøi
Skarvehøi is a mountain located in Lesja municipality in Innlandet county, Norway, known for its alpine terrain and scenic hiking opportunities.
- 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: Årdalstangen Triple: [Sogn region, containsSettlement, Årdalstangen]
Generated description
Årdalstangen is a village in Vestland county, Norway, known for its industrial activity and location at the end of the Årdalsfjorden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Årdalstangen Target entity description: Årdalstangen is a village in Vestland county, Norway, known for its industrial activity and location at the end of the Årdalsfjorden.
-
A.
Setesdalsheiene
Setesdalsheiene is a mountainous plateau region in southern Norway known for its rugged terrain, hiking opportunities, and traditional upland landscapes.
-
B.
Tallkrogen
Tallkrogen is a residential district in southern Stockholm, Sweden, known for its small-scale housing and garden-city character.
-
C.
Trolltunga
Trolltunga is a dramatic rock formation jutting horizontally from a mountain above Lake Ringedalsvatnet in Norway, famous as a challenging hiking destination and iconic photo spot.
-
D.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
E.
Skarvehøi
Skarvehøi is a mountain located in Lesja municipality in Innlandet county, Norway, known for its alpine terrain and scenic hiking opportunities.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed44b2e3c8190aad111e2bc2b56a2 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed547192c8190b89755fff48ca620 |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 10, 2026, 3:11 a.m.