Triple
T20261528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svartisen glacier |
E498849
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Austerdalsisen
Austerdalsisen is a major outlet glacier forming part of the Svartisen ice cap in northern Norway, known for its striking glacial landscapes and accessibility.
|
E1420162
|
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: Austerdalsisen | Statement: [Svartisen glacier, hasPart, Austerdalsisen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austerdalsisen Context triple: [Svartisen glacier, hasPart, Austerdalsisen]
-
A.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
B.
Aulestad
Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
C.
Fyresdal
Fyresdal is a rural municipality in Telemark county, Norway, known for its forests, lakes, and traditional farming communities.
-
D.
Orkdal
Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
-
E.
Etterstad
Etterstad is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and proximity to the city center.
- 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: Austerdalsisen Triple: [Svartisen glacier, hasPart, Austerdalsisen]
Generated description
Austerdalsisen is a major outlet glacier forming part of the Svartisen ice cap in northern Norway, known for its striking glacial landscapes and accessibility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Austerdalsisen Target entity description: Austerdalsisen is a major outlet glacier forming part of the Svartisen ice cap in northern Norway, known for its striking glacial landscapes and accessibility.
-
A.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
B.
Aulestad
Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
C.
Fyresdal
Fyresdal is a rural municipality in Telemark county, Norway, known for its forests, lakes, and traditional farming communities.
-
D.
Orkdal
Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
-
E.
Etterstad
Etterstad is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and proximity to the city center.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ca77c081909cd2f44ccfe3662d |
completed | April 20, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08552e62a08190af0bf7605bc6b6b7 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855ea027481908eebd5cff8ac97fb |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08568fa1748190b4e2c21fc3ec0b63 |
completed | May 16, 2026, 11:35 a.m. |
Created at: April 11, 2026, 11:41 p.m.