Triple
T22683169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groruddalen |
E560834
|
entity |
| Predicate | hasBorough |
P300
|
FINISHED |
| Object | Alna borough |
—
|
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: Alna borough | Statement: [Groruddalen, hasBorough, Alna borough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alna borough Context triple: [Groruddalen, hasBorough, Alna borough]
-
A.
Alna borough
chosen
Alna borough is an administrative district in the eastern part of Oslo, Norway, characterized by a mix of residential areas, industry, and green spaces.
-
B.
Alna
Alna is a river in Oslo, Norway, that flows through several urban districts before emptying into the Oslofjord.
-
C.
Alna district
Alna district is a borough in the eastern part of Oslo, Norway, known for its residential areas, industrial zones, and the Alna River running through it.
-
D.
Evensky District
Evensky District is an administrative district in Magadan Oblast, Russia, encompassing remote settlements such as Severo-Evensk in the country’s Far East.
-
E.
Lenola
Lenola is a small Italian town in the Lazio region, known for its historic hilltop setting and scenic views over the surrounding countryside.
- 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.