Triple
T6304148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestre Aker |
E141330
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Røa
Røa is a residential neighborhood in the western part of Oslo, Norway, known for its green surroundings and good public transport connections.
|
E669588
|
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: Røa | Statement: [Vestre Aker, contains, Røa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Røa Context triple: [Vestre Aker, contains, Røa]
-
A.
Drammen
Drammen is a city and municipality in southeastern Norway known for its riverside setting along the Drammenselva and its role as a regional commercial and transport hub.
-
B.
Rodeløkka
Rodeløkka is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, narrow streets, and close-knit, village-like atmosphere within the inner city.
-
C.
Røyken
Røyken is a former municipality and suburban area in southeastern Norway, located along the Oslofjord and historically part of Buskerud county.
-
D.
Bjerkreim
Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
-
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: Røa Triple: [Vestre Aker, contains, Røa]
Generated description
Røa is a residential neighborhood in the western part of Oslo, Norway, known for its green surroundings and good public transport connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Røa Target entity description: Røa is a residential neighborhood in the western part of Oslo, Norway, known for its green surroundings and good public transport connections.
-
A.
Drammen
Drammen is a city and municipality in southeastern Norway known for its riverside setting along the Drammenselva and its role as a regional commercial and transport hub.
-
B.
Rodeløkka
Rodeløkka is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, narrow streets, and close-knit, village-like atmosphere within the inner city.
-
C.
Røyken
Røyken is a former municipality and suburban area in southeastern Norway, located along the Oslofjord and historically part of Buskerud county.
-
D.
Bjerkreim
Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
-
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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645f26a881909d5746151c0843cc |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845c232188190a3391ce5159f49bb |
completed | March 28, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69c846d0b1348190bc2bf23e75c535a9 |
completed | March 28, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84748b8988190b4f85c253ea9e403 |
completed | March 28, 2026, 9:25 p.m. |
Created at: March 22, 2026, 4:28 p.m.