Triple
T21545385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordmarka |
E531609
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Bærumsmarka
Bærumsmarka is a forested recreational area in Bærum, Norway, known for its hiking, skiing, and outdoor activities near Oslo.
|
E1490674
|
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: Bærumsmarka | Statement: [Nordmarka, borderedBy, Bærumsmarka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bærumsmarka Context triple: [Nordmarka, borderedBy, Bærumsmarka]
-
A.
Haugalandet
Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
-
B.
Bremnes
Bremnes is a town in Vestland county, Norway, known as the main local hub on the island of Bømlo with residential, commercial, and service functions for the surrounding area.
-
C.
Hadeland
Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
-
D.
Birgland
Birgland is a small municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
-
E.
Brumunddal
Brumunddal is a town in Ringsaker Municipality in Innlandet county, Norway, known as an administrative and commercial center on the eastern shore of Lake Mjøsa.
- 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: Bærumsmarka Triple: [Nordmarka, borderedBy, Bærumsmarka]
Generated description
Bærumsmarka is a forested recreational area in Bærum, Norway, known for its hiking, skiing, and outdoor activities near Oslo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bærumsmarka Target entity description: Bærumsmarka is a forested recreational area in Bærum, Norway, known for its hiking, skiing, and outdoor activities near Oslo.
-
A.
Haugalandet
Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
-
B.
Bremnes
Bremnes is a town in Vestland county, Norway, known as the main local hub on the island of Bømlo with residential, commercial, and service functions for the surrounding area.
-
C.
Hadeland
Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
-
D.
Birgland
Birgland is a small municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
-
E.
Brumunddal
Brumunddal is a town in Ringsaker Municipality in Innlandet county, Norway, known as an administrative and commercial center on the eastern shore of Lake Mjøsa.
- 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.