Triple
T10308064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kehlstein |
E241815
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Hoher Göll massif |
E810403
|
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: Hoher Göll massif | Statement: [Kehlstein, hasViewOf, Hoher Göll massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoher Göll massif Context triple: [Kehlstein, hasViewOf, Hoher Göll massif]
-
A.
Göll massif
chosen
The Göll massif is a prominent limestone mountain group on the border of Germany and Austria, known for its high peaks, extensive karst formations, and popular hiking and climbing routes.
-
B.
Bärenkopf
Bärenkopf is a mountain peak in the Austrian Alps that forms part of the Glockner Group.
-
C.
Roßhaupten
Roßhaupten is a small Bavarian municipality in southern Germany, known for its scenic location in the Allgäu region near the Alps and popular lakes.
-
D.
Brocken
Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
-
E.
Deutschlandsberg
Deutschlandsberg is a small Austrian town in the southwest of the state of Styria, known for its surrounding vineyards, castle, and scenic hilly landscape.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75026fb0881908e4d16b3fde531c0 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:46 a.m.