Triple
T21545412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslomarka |
E531610
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Østmarka
Østmarka is a forested recreational area east of Oslo, Norway, known for its lakes, hiking trails, and outdoor activities.
|
E1490677
|
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: Østmarka | Statement: [Oslomarka, hasPart, Østmarka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Østmarka Context triple: [Oslomarka, hasPart, Østmarka]
-
A.
Kongsvingerregionen
Kongsvingerregionen is a tourism area in southeastern Norway centered around the historic town of Kongsvinger and its surrounding countryside.
-
B.
Nordmarka
Nordmarka is a large forested recreational area north of Oslo, Norway, popular for hiking, skiing, and outdoor activities.
-
C.
Hadeland
Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
-
D.
Fosen region
The Fosen region is a coastal area in Trøndelag, Norway, known for its rugged landscapes, fishing communities, and large-scale wind power developments.
-
E.
Jørpeland
Jørpeland is a town in Rogaland county, Norway, known as a local industrial and service hub and a gateway to the nearby Lysefjord and Preikestolen (Pulpit Rock).
- 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: Østmarka Triple: [Oslomarka, hasPart, Østmarka]
Generated description
Østmarka is a forested recreational area east of Oslo, Norway, known for its lakes, hiking trails, and outdoor activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Østmarka Target entity description: Østmarka is a forested recreational area east of Oslo, Norway, known for its lakes, hiking trails, and outdoor activities.
-
A.
Kongsvingerregionen
Kongsvingerregionen is a tourism area in southeastern Norway centered around the historic town of Kongsvinger and its surrounding countryside.
-
B.
Nordmarka
Nordmarka is a large forested recreational area north of Oslo, Norway, popular for hiking, skiing, and outdoor activities.
-
C.
Hadeland
Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
-
D.
Fosen region
The Fosen region is a coastal area in Trøndelag, Norway, known for its rugged landscapes, fishing communities, and large-scale wind power developments.
-
E.
Jørpeland
Jørpeland is a town in Rogaland county, Norway, known as a local industrial and service hub and a gateway to the nearby Lysefjord and Preikestolen (Pulpit Rock).
- 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_6a09eedd845c819082acae7e6cd29f56 |
completed | May 17, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a09ef7271e081908a1cd70297376ae3 |
completed | May 17, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f00ec300819082ee644a512a9cdf |
completed | May 17, 2026, 4:42 p.m. |
Created at: April 16, 2026, 6:28 p.m.