Triple
T10616921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Swabia |
E276143
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bad Schussenried |
E748407
|
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 Schussenried | Statement: [Upper Swabia, contains, Bad Schussenried]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Schussenried Context triple: [Upper Swabia, contains, Bad Schussenried]
-
A.
Bad Schussenried
chosen
Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
-
B.
Bad Schönau
Bad Schönau is a small spa town in Lower Austria known for its therapeutic mineral springs and tranquil rural setting.
-
C.
Neusäß
Neusäß is a town in Bavaria, Germany, located just northwest of the city of Augsburg and functioning largely as a residential and commuter suburb.
-
D.
Geretsried
Geretsried is a town in Upper Bavaria, Germany, situated on the Isar River and known as the largest town in the Bad Tölz-Wolfratshausen district.
-
E.
Bad Wörishofen
Bad Wörishofen is a spa town in Bavaria, Germany, renowned as the birthplace of Sebastian Kneipp’s hydrotherapy and wellness treatments.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6e2df4819099a19b59d90d0dd1 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de552d2d548190b6ade494ef2cbe7e |
completed | April 14, 2026, 2:54 p.m. |
Created at: April 8, 2026, 7:33 p.m.