Triple
T22682976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Økern |
E560829
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Økern Portal |
—
|
NE NERFINISHED |
How this triple was built (2 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: Økern Portal | Statement: [Økern, hasLandmark, Økern Portal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Økern Portal Context triple: [Økern, hasLandmark, Økern Portal]
-
A.
Økern
chosen
Økern is a mixed residential and commercial neighborhood in Oslo, Norway, known for its shopping center, office developments, and transport connections.
-
B.
OERK
OERK is the ICAO airport code for King Khalid International Airport, the main international gateway serving Riyadh, Saudi Arabia.
-
C.
Oek
Oek is the given name of Dutch novelist Oek de Jong, known for his psychologically rich and stylistically refined literary works.
-
D.
Oikarinen
Oikarinen is a Finnish surname borne by several notable individuals, including figures in technology and sports.
-
E.
OKN
OKN is the National Rail station code for Oakengates railway station in Shropshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 17, 2026, 3:12 p.m.