Triple
T1261606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A1 motorway (Switzerland) |
E12513
|
entity |
| Predicate | connectsTo |
P845
|
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 motorway (Switzerland), connectsTo, St. Margrethen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Margrethen Context triple: [A1 motorway (Switzerland), connectsTo, 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.
Angmering
Angmering is a large village and civil parish in the Arun district of West Sussex, England, situated between Littlehampton and Worthing near the south coast.
-
C.
Schaan
Schaan is a major municipality in Liechtenstein known as its principal urban and industrial center.
-
D.
Starnberg
Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
-
E.
Marienberg
Marienberg is a historic mining town in Saxony, Germany, known for its Renaissance-era planned layout and location in the central Ore Mountains.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc64e648190b9c4f980eb8168aa |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacb3bf588190a6d042a01dfa31e5 |
completed | March 7, 2026, 10:54 p.m. |
Created at: March 1, 2026, 7:50 p.m.