Triple
T11353440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hautes Fagnes |
E268891
|
entity |
| Predicate | nameInGerman |
P22792
|
FINISHED |
| Object | Hohes Venn |
E907729
|
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: Hohes Venn | Statement: [Hautes Fagnes, nameInGerman, Hohes Venn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohes Venn Context triple: [Hautes Fagnes, nameInGerman, Hohes Venn]
-
A.
Hohes Venn
chosen
Hohes Venn is a high-altitude peat bog and nature reserve on the border of Belgium and Germany, known for its unique moorland landscapes and rich biodiversity.
-
B.
Le Hohneck
Le Hohneck is a prominent mountain peak in the Vosges range of northeastern France, known for its panoramic views and popular hiking and skiing opportunities.
-
C.
Wiesenaue
Wiesenaue is a small rural municipality in the Havelland district of Brandenburg, Germany, characterized by its agricultural landscape and village settlements.
-
D.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
-
E.
Bratenahl
Bratenahl is a small, affluent lakeside village located along the Lake Erie shoreline within the Cleveland metropolitan area in Cuyahoga County, Ohio.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea24489081908fbf47fd2e6d709c |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543a6e97481909dc77a553b217b4d |
completed | April 19, 2026, 9:05 p.m. |
Created at: April 8, 2026, 9:33 p.m.