Triple
T19176862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weil im Schönbuch |
E469461
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Schönbuch |
—
|
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: Schönbuch | Statement: [Weil im Schönbuch, locatedIn, Schönbuch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schönbuch Context triple: [Weil im Schönbuch, locatedIn, Schönbuch]
-
A.
Schönbuch
chosen
Schönbuch is a large forest and nature reserve in the German state of Baden-Württemberg, known for its extensive woodlands, wildlife, and recreational hiking areas.
-
B.
Kraichtal
Kraichtal is a town in the Karlsruhe district of Baden-Württemberg, Germany, formed from several formerly independent villages in the hilly Kraichgau region.
-
C.
Alpirsbach
Alpirsbach is a small town in Germany’s Black Forest region, known for its historic Benedictine monastery and traditional Alpirsbacher Klosterbräu brewery.
-
D.
Weilersbach
Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
-
E.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f618f18c8190b98995fda4b6fea0 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.