Triple
T5498797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A1 (Swiss motorway) |
E144275
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | St. Margrethen |
E146668
|
NE FINISHED |
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: [A1 (Swiss motorway), terminus, St. Margrethen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Margrethen Context triple: [A1 (Swiss motorway), terminus, 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.
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.
-
C.
Grafenwerth
Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
-
D.
Feldafing
Feldafing is a Bavarian lakeside municipality in southern Germany known for its scenic location on the western shore of Lake Starnberg and its historic villas and parklands.
-
E.
Differdange
Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01b9050d08190b0cfcfdb5d414476 |
completed | March 22, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0279253c88190ae70e2f4f1fb3e7d |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:32 p.m.