Triple
T7776829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berchtesgadener Land district |
E221414
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Bad Reichenhall |
E134203
|
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: Bad Reichenhall | Statement: [Berchtesgadener Land district, capital, Bad Reichenhall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Reichenhall Context triple: [Berchtesgadener Land district, capital, Bad Reichenhall]
-
A.
Bad Reichenhall
chosen
Bad Reichenhall is a Bavarian spa town in southeastern Germany, renowned for its alpine setting and historic salt production.
-
B.
Bad Salzungen
Bad Salzungen is a spa town in Thuringia, Germany, known for its saline springs and therapeutic health resorts.
-
C.
Bad Wurzach
Bad Wurzach is a spa town in the Allgäu region of southern Germany, known for its moorland landscapes and therapeutic mud baths.
-
D.
Burghausen
Burghausen is a historic Bavarian town in southeastern Germany, renowned for its remarkably well-preserved medieval old town and one of the longest castle complexes in the world.
-
E.
Bad Salzuflen
Bad Salzuflen is a German spa town in the Lippe district of North Rhine-Westphalia, known for its saltwater springs and historic half-timbered architecture.
- 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, 4:11 p.m.