Triple
T21024609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vega |
E517905
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Skogås |
—
|
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: Skogås | Statement: [Vega, nearbyLocality, Skogås]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skogås Context triple: [Vega, nearbyLocality, Skogås]
-
A.
Skogås
chosen
Skogås is a suburban district in the southern Stockholm area of Sweden, known primarily as a residential community with good commuter connections to central Stockholm.
-
B.
Gulskogen
Gulskogen is a residential district in Drammen, Norway, known for its historic manor house and surrounding park.
-
C.
Fältskog
Fältskog is a Swedish surname most famously borne by Agnetha Fältskog, the singer from the pop group ABBA.
-
D.
Såtenäs
Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
-
E.
Fagersjö
Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc6059908190bf5c9ef9c30f1a32 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:55 p.m.