Triple
T7776847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berchtesgadener Land district |
E221414
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Watzmann |
E225360
|
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: Watzmann | Statement: [Berchtesgadener Land district, contains, Watzmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watzmann Context triple: [Berchtesgadener Land district, contains, Watzmann]
-
A.
Watzmann
chosen
Watzmann is a prominent mountain massif in the Bavarian Alps, renowned for its striking peaks and dramatic presence above the town of Berchtesgaden.
-
B.
Weißkamm
Weißkamm is a prominent subrange of the Ötztal Alps in Tyrol, Austria, known for its high glaciated peaks and alpine landscapes.
-
C.
Birkkarspitze
Birkkarspitze is a prominent Alpine peak in the Karwendel range on the border of Austria and Germany, popular with experienced hikers and mountaineers.
-
D.
Grosser Arber
Grosser Arber is a prominent mountain in the Bavarian Forest on the German-Czech border, known for its hiking, skiing, and panoramic views.
-
E.
Kitzsteinhorn
Kitzsteinhorn is a prominent Alpine mountain in the Austrian state of Salzburg, known for its glacier ski area and panoramic views.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d22ee081908081b5f5ecdb4d39 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf58a86548190b870417692e4b654 |
completed | March 30, 2026, 10:13 p.m. |
Created at: March 30, 2026, 4:12 p.m.