Triple
T21457791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Margrethen railway station |
E529386
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | St. Margrethen |
—
|
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: St. Margrethen | Statement: [St. Margrethen railway station, locatedIn, St. Margrethen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Margrethen Context triple: [St. Margrethen railway station, locatedIn, St. Margrethen]
-
A.
St. Margrethen
chosen
St. Margrethen is a municipality in the canton of St. Gallen in northeastern Switzerland, located near the Austrian border along the Rhine River.
-
B.
St. Margrethenberg
St. Margrethenberg is a small Swiss village in the canton of St. Gallen, known for its scenic alpine setting and traditional rural character.
-
C.
Margareten
Margareten is the 5th district of Vienna, Austria, known as a densely populated, traditionally working-class area that has undergone significant urban renewal and gentrification.
-
D.
Borgentreich
Borgentreich is a small town in North Rhine-Westphalia, Germany, known for its rural character and historic churches.
-
E.
Herisau
Herisau is a Swiss town that serves as the administrative and economic center of the canton of Appenzell Ausserrhoden.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ec254081909a703056022f4f45 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:08 p.m.