Triple
T18307380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mittelfranken |
E438522
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Rednitz |
—
|
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: Rednitz | Statement: [Mittelfranken, hasRiver, Rednitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rednitz Context triple: [Mittelfranken, hasRiver, Rednitz]
-
A.
Rednitz
chosen
The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
-
B.
Duttweiler
Duttweiler is a village and local district (Ortsteil) of Neustadt an der Weinstraße in the Rhineland-Palatinate wine-growing region of Germany.
-
C.
Schönauer
Schönauer are the inhabitants or natives of Schönau im Schwarzwald, a town in the Black Forest region of Germany.
-
D.
Marheineke
Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
-
E.
Zweigelt
Zweigelt is Austria’s most widely planted red wine grape, known for producing fruit-forward, medium-bodied wines with soft tannins and vibrant cherry flavors.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021519a481908a9b6561946f1c65 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:35 a.m.