Triple
T17639802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarau railway station |
E429193
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Brugg AG |
—
|
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: Brugg AG | Statement: [Aarau railway station, connectsTo, Brugg AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brugg AG Context triple: [Aarau railway station, connectsTo, Brugg AG]
-
A.
Brugg AG
chosen
Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
-
B.
Swissbau
Swissbau is a major Swiss trade fair and exhibition platform focused on the construction, real estate, and architecture sectors.
-
C.
Baselland Transport
Baselland Transport is a Swiss public transport company that operates tram and bus services in the Basel region and surrounding areas.
-
D.
Siemens–Duewag
Siemens–Duewag was a German rolling stock manufacturer known for producing light rail vehicles and trams used in many cities worldwide.
-
E.
Semperit
Semperit is a tire and rubber products brand owned by the German automotive supplier Continental AG.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de3f2a08190998641fa589bad78 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 6:02 a.m.