Triple
T10308061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kehlstein |
E241815
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Kehlstein |
E241815
|
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: Kehlstein | Statement: [Kehlstein, hasNameInGerman, Kehlstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kehlstein Context triple: [Kehlstein, hasNameInGerman, Kehlstein]
-
A.
Kehlstein mountain
chosen
Kehlstein mountain is a prominent peak in the Bavarian Alps best known as the site of the Eagle’s Nest, offering panoramic views over the Berchtesgaden region.
-
B.
Hardtberg
Hardtberg is a borough of the German city of Bonn, located in the western part of the city and comprising several residential and administrative districts.
-
C.
Oberhalbstein
Oberhalbstein is a high Alpine valley and region in the canton of Graubünden, Switzerland, known for its Romansh-speaking communities and mountain landscapes.
-
D.
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.
-
E.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
- 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.