Triple
T23213092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trångsund railway station |
E580653
|
entity |
| Predicate | adjacentStation |
P5707
|
FINISHED |
| Object | Skogås railway station |
—
|
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 railway station | Statement: [Trångsund railway station, adjacentStation, Skogås railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skogås railway station Context triple: [Trångsund railway station, adjacentStation, Skogås railway station]
-
A.
Skogås station
chosen
Skogås station is a commuter rail stop in the southern suburbs of Stockholm, Sweden, serving the residential area of Skogås.
-
B.
Kungsängen railway station
Kungsängen railway station is a commuter rail station in Kungsängen, Sweden, serving as a local transit hub on the Stockholm commuter rail network.
-
C.
Gulskogen Station
Gulskogen Station is a railway station in the Drammen area of Viken county, Norway, serving local and regional train traffic.
-
D.
Häggvik station
Häggvik station is a commuter rail station in the Häggvik district of Sollentuna, north of central Stockholm, Sweden.
-
E.
Gulleråsen station
Gulleråsen station is a stop on Oslo’s Holmenkollen Line (Line 1) of the Oslo Metro, serving the residential hillside area of Vestre Aker.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19162c77c8190ba29c59ea9695316 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.