Triple
T8279454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vår Frelsers gravlund |
E193632
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Gamle Aker
Gamle Aker is a historic district in Oslo, Norway, known for its medieval church and significant cultural heritage sites.
|
E723212
|
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: Gamle Aker | Statement: [Vår Frelsers gravlund, locatedIn, Gamle Aker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamle Aker Context triple: [Vår Frelsers gravlund, locatedIn, Gamle Aker]
-
A.
Akkerhaugen
Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
-
B.
Grorud
Grorud is a borough in the northeastern part of Oslo, Norway, known for its residential areas, green spaces, and diverse population.
-
C.
Aakirkeby
Aakirkeby is a small historic town on the Danish island of Bornholm, known for its medieval church and role as a local commercial and cultural center.
-
D.
Vestre Bolæren
Vestre Bolæren is one of the Bolærne islands in the Oslofjord, known for its coastal scenery, outdoor recreation opportunities, and remnants of former military installations.
-
E.
Ullensaker
Ullensaker is a municipality in Viken county, Norway, best known for hosting Oslo Airport, Gardermoen, the country’s main international airport.
- 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: Gamle Aker Triple: [Vår Frelsers gravlund, locatedIn, Gamle Aker]
Generated description
Gamle Aker is a historic district in Oslo, Norway, known for its medieval church and significant cultural heritage sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gamle Aker Target entity description: Gamle Aker is a historic district in Oslo, Norway, known for its medieval church and significant cultural heritage sites.
-
A.
Akkerhaugen
Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
-
B.
Grorud
Grorud is a borough in the northeastern part of Oslo, Norway, known for its residential areas, green spaces, and diverse population.
-
C.
Aakirkeby
Aakirkeby is a small historic town on the Danish island of Bornholm, known for its medieval church and role as a local commercial and cultural center.
-
D.
Vestre Bolæren
Vestre Bolæren is one of the Bolærne islands in the Oslofjord, known for its coastal scenery, outdoor recreation opportunities, and remnants of former military installations.
-
E.
Ullensaker
Ullensaker is a municipality in Viken county, Norway, best known for hosting Oslo Airport, Gardermoen, the country’s main international airport.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ece5708190a1569bcfad5b3644 |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd686d9be081908b0490e708f51ad7 |
completed | April 1, 2026, 6:48 p.m. |
| NEDg | Description generation | batch_69cd6d5441248190a9e32281dc8e8d62 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e20f71c8190959319c6683a2810 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:51 p.m.