Triple
T10988387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinn |
E259689
|
entity |
| Predicate | mouthOf |
P1008
|
FINISHED |
| Object | Franconian Saale |
E526322
|
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: Franconian Saale | Statement: [Sinn, mouthOf, Franconian Saale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franconian Saale Context triple: [Sinn, mouthOf, Franconian Saale]
-
A.
Fränkische Saale
chosen
The Fränkische Saale is a river in northern Bavaria, Germany, known for flowing through the Franconian wine region and eventually joining the Main River.
-
B.
Saale
The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
-
C.
Saalach River
The Saalach River is an Alpine river in Austria and Germany that flows through the spa town of Bad Reichenhall before joining the Salzach.
-
D.
Würm River
The Würm River is a small river in Bavaria, Germany, known for flowing north from Lake Starnberg through towns such as Gauting and Starnberg before joining the Amper River.
-
E.
Altmühl
The Altmühl is a river in Bavaria, Germany, known for its slow meandering course through the Franconian countryside and its scenic valleys popular with hikers and cyclists.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43ee693048190a8c7ecdf8724d3ec |
completed | May 1, 2026, 5:49 a.m. |
Created at: April 8, 2026, 9:24 p.m.