Triple
T21456762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dranske |
E529360
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Wieker Bodden |
—
|
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: Wieker Bodden | Statement: [Dranske, locatedNear, Wieker Bodden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wieker Bodden Context triple: [Dranske, locatedNear, Wieker Bodden]
-
A.
Schaproder Bodden
chosen
Schaproder Bodden is a shallow lagoon-like bay on the Baltic Sea coast of Mecklenburg-Vorpommern in northern Germany, known for its rich birdlife and coastal wetlands.
-
B.
Rotenboden
Rotenboden is a high-altitude railway station in the Swiss Alps, known as a scenic stop on the route to the Gornergrat with panoramic views of the Matterhorn and surrounding peaks.
-
C.
Rotenboden
Rotenboden is a small settlement or locality within the mountainous municipality of Triesenberg in Liechtenstein.
-
D.
Bodenmais
Bodenmais is a Bavarian spa and holiday resort town in the Bavarian Forest of Germany, known for its glassmaking tradition and outdoor recreation.
-
E.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
- 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_69e9e9d7af248190a3bc06a390f390bf |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:08 p.m.