Triple
T21545416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslomarka |
E531610
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sørmarka
Sørmarka is a forested recreational area in the Oslo region of Norway, known for outdoor activities such as hiking and skiing.
|
E1492652
|
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: Sørmarka | Statement: [Oslomarka, hasPart, Sørmarka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sørmarka Context triple: [Oslomarka, hasPart, Sørmarka]
-
A.
Bærumsmarka
Bærumsmarka is a forested recreational area in Bærum, Norway, known for its hiking, skiing, and outdoor activities near Oslo.
-
B.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
-
C.
Søråa
Søråa is a river located in the Namdalen district of Trøndelag county in central Norway.
-
D.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
E.
Fagernes
Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
- 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: Sørmarka Triple: [Oslomarka, hasPart, Sørmarka]
Generated description
Sørmarka is a forested recreational area in the Oslo region of Norway, known for outdoor activities such as hiking and skiing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sørmarka Target entity description: Sørmarka is a forested recreational area in the Oslo region of Norway, known for outdoor activities such as hiking and skiing.
-
A.
Bærumsmarka
Bærumsmarka is a forested recreational area in Bærum, Norway, known for its hiking, skiing, and outdoor activities near Oslo.
-
B.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
-
C.
Søråa
Søråa is a river located in the Namdalen district of Trøndelag county in central Norway.
-
D.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
E.
Fagernes
Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58e38808190888f3501cf4fff7c |
completed | April 27, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd24314c8190ad8b661b92eb5b28 |
completed | May 17, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a09ff3fc398819085fd5cd9d0245927 |
completed | May 17, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ff9d9af881908d8ab44f27e13641 |
completed | May 17, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:28 p.m.