Triple
T19786598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rheintal (St. Gallen Rhine Valley) |
E475285
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Widnau |
—
|
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: Widnau | Statement: [Rheintal (St. Gallen Rhine Valley), contains, Widnau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Widnau Context triple: [Rheintal (St. Gallen Rhine Valley), contains, Widnau]
-
A.
Widnau
chosen
Widnau is a municipality in the Swiss canton of St. Gallen, located in the Rhine Valley near the border with Austria.
-
B.
Horgau
Horgau is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Waldnaab
Waldnaab is a river in northeastern Bavaria, Germany, that flows through the Upper Palatinate region and lends its name to several nearby towns.
-
D.
Kraichtal
Kraichtal is a town in the Karlsruhe district of Baden-Württemberg, Germany, formed from several formerly independent villages in the hilly Kraichgau region.
-
E.
Viechtach
Viechtach is a small town in the Bavarian Forest region of southeastern Germany, known for its scenic landscapes and outdoor recreation.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65387d3348190a31f9c2f9bc1c6d9 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.