Triple
T4485405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roth (river) |
E107223
|
entity |
| Predicate | hasMouthLocation |
P1008
|
FINISHED |
| Object | Rednitz at Roth (town) |
E19589
|
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: Rednitz at Roth (town) | Statement: [Roth (river), hasMouthLocation, Rednitz at Roth (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rednitz at Roth (town) Context triple: [Roth (river), hasMouthLocation, Rednitz at Roth (town)]
-
A.
Roth bei Nürnberg (Austria)
Roth bei Nürnberg (Austria) is an Austrian town that is officially twinned with the German town of Roth in Bavaria.
-
B.
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.
-
C.
Röthenbach
Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
-
D.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
E.
district of Roth
The district of Roth is a rural administrative district in Middle Franconia, Bavaria, Germany, known for its mix of small towns, forests, and river landscapes.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd52a758f48190b6b59ca0d9207c2a |
completed | March 20, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd56b2f4e08190812d3909cc327b06 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 12:59 p.m.