Triple
T22954790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saalach River |
E570724
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Bad Reichenhall |
—
|
NE NERFINISHED |
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: [Saalach River, flowsThrough, Bad Reichenhall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Reichenhall Context triple: [Saalach River, flowsThrough, 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.
Reichenhall
Reichenhall is a Bavarian spa town in southeastern Germany, renowned for its salt springs and alpine setting.
-
C.
Bad Schussenried
Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
-
D.
Gundremmingen
Gundremmingen is a small Bavarian municipality best known for hosting one of Germany’s major nuclear power plants.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181ef7db4819093ab8117ed53c174 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:46 p.m.