Triple
T9517698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Oslo Region |
E229565
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oppegård
Oppegård is a suburban municipality in Viken county, Norway, situated just south of Oslo and known for its residential areas and proximity to nature.
|
E804432
|
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: Oppegård | Statement: [Greater Oslo Region, contains, Oppegård]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oppegård Context triple: [Greater Oslo Region, contains, Oppegård]
-
A.
Gangstad
Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
-
B.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
C.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
D.
Bjerke
Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
-
E.
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.
- 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: Oppegård Triple: [Greater Oslo Region, contains, Oppegård]
Generated description
Oppegård is a suburban municipality in Viken county, Norway, situated just south of Oslo and known for its residential areas and proximity to nature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oppegård Target entity description: Oppegård is a suburban municipality in Viken county, Norway, situated just south of Oslo and known for its residential areas and proximity to nature.
-
A.
Gangstad
Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
-
B.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
C.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
D.
Bjerke
Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
-
E.
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.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9880417c819097dde277988df36d |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a4aeb008190ae5d54367efe2722 |
completed | April 4, 2026, 4:20 p.m. |
| NEDg | Description generation | batch_69d13c78d6108190ad2cab79070077a8 |
completed | April 4, 2026, 4:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13d2aac8c8190a00c8fe820baa732 |
completed | April 4, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:59 p.m.