Triple
T22682955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Økern |
E560829
|
entity |
| Predicate | hasShoppingCenter |
P1495
|
FINISHED |
| Object |
Økernsenteret
Økernsenteret is a shopping center located in the Økern area of Oslo, Norway, featuring a variety of retail stores and services.
|
E1549411
|
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: Økernsenteret | Statement: [Økern, hasShoppingCenter, Økernsenteret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Økernsenteret Context triple: [Økern, hasShoppingCenter, Økernsenteret]
-
A.
Aukrust Center
Aukrust Center is a cultural and visitor center in Alvdal, Norway, dedicated to the life and works of Norwegian author and illustrator Kjell Aukrust.
-
B.
Straume Senter
Straume Senter is a major regional shopping mall in Straume, Norway, featuring a wide range of retail stores, services, and dining options.
-
C.
Kongsseteren
Kongsseteren is a historic winter residence and retreat used by the Norwegian royal family near Oslo.
-
D.
Sentrum
Sentrum is the central district of Oslo, Norway, which hosts some of the University of Oslo’s urban campus facilities.
-
E.
Kongsvinger
Kongsvinger is a town and municipality in Innlandet county, Norway, known for its historic fortress overlooking the Glomma River and its role as a regional center near the Swedish border.
- 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: Økernsenteret Triple: [Økern, hasShoppingCenter, Økernsenteret]
Generated description
Økernsenteret is a shopping center located in the Økern area of Oslo, Norway, featuring a variety of retail stores and services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Økernsenteret Target entity description: Økernsenteret is a shopping center located in the Økern area of Oslo, Norway, featuring a variety of retail stores and services.
-
A.
Aukrust Center
Aukrust Center is a cultural and visitor center in Alvdal, Norway, dedicated to the life and works of Norwegian author and illustrator Kjell Aukrust.
-
B.
Straume Senter
Straume Senter is a major regional shopping mall in Straume, Norway, featuring a wide range of retail stores, services, and dining options.
-
C.
Kongsseteren
Kongsseteren is a historic winter residence and retreat used by the Norwegian royal family near Oslo.
-
D.
Sentrum
Sentrum is the central district of Oslo, Norway, which hosts some of the University of Oslo’s urban campus facilities.
-
E.
Kongsvinger
Kongsvinger is a town and municipality in Innlandet county, Norway, known for its historic fortress overlooking the Glomma River and its role as a regional center near the Swedish border.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786204d88190a837a5f04e16e94c |
completed | April 29, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73f4db988190a651faf7f454c6c8 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7551043c81908323a86af4db77ce |
completed | May 18, 2026, 8:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b764c2de88190bb1024206607d107 |
completed | May 18, 2026, 8:27 p.m. |
Created at: April 17, 2026, 3:12 p.m.