Triple
T15464174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunnmørsalpene |
E371983
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Kvitegga
Kvitegga is a prominent mountain peak in Norway’s Sunnmøre Alps, known for its alpine terrain and popular ski touring routes.
|
E1159012
|
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: Kvitegga | Statement: [Sunnmørsalpene, hasPeak, Kvitegga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvitegga Context triple: [Sunnmørsalpene, hasPeak, Kvitegga]
-
A.
Kvam
Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
-
B.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
C.
Kuortane
Kuortane is a rural municipality in western Finland known for its lakeside landscapes and its national sports training center.
-
D.
Kvikne
Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
E.
Vitte
Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
- 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: Kvitegga Triple: [Sunnmørsalpene, hasPeak, Kvitegga]
Generated description
Kvitegga is a prominent mountain peak in Norway’s Sunnmøre Alps, known for its alpine terrain and popular ski touring routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kvitegga Target entity description: Kvitegga is a prominent mountain peak in Norway’s Sunnmøre Alps, known for its alpine terrain and popular ski touring routes.
-
A.
Kvam
Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
-
B.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
C.
Kuortane
Kuortane is a rural municipality in western Finland known for its lakeside landscapes and its national sports training center.
-
D.
Kvikne
Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
E.
Vitte
Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1927708190a0d2b63e75469a0e |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cff942081908a2f5351079666a3 |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2ed38a8c8190af82acf2a90a1433 |
completed | May 9, 2026, 12:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2f3ab6988190b4cefe2f55c4101c |
completed | May 9, 2026, 12:57 p.m. |
Created at: April 10, 2026, 3:33 a.m.