Triple
T7994750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurach |
E186094
|
entity |
| Predicate | drainageBasin |
P1559
|
FINISHED |
| Object | Regnitz basin |
E124915
|
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: Regnitz basin | Statement: [Aurach, drainageBasin, Regnitz basin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regnitz basin Context triple: [Aurach, drainageBasin, Regnitz basin]
-
A.
Wupper basin
The Wupper basin is a river catchment area in North Rhine-Westphalia, Germany, drained by the Wupper River and encompassing several towns and cities in the Bergisches Land region.
-
B.
Oder (Harz) basin
The Oder (Harz) basin is a river basin in the Harz Mountains of central Germany that drains the surrounding upland area through the Oder and its tributaries.
-
C.
Rednitz river basin
The Rednitz river basin is the drainage area in Franconia, Germany, encompassing the Rednitz River and its tributaries, including the Roth.
-
D.
Regnitz
chosen
The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
-
E.
Saale River valley
The Saale River valley is a scenic river landscape in central Germany characterized by winding waterways, steep slopes, and a mix of forests, vineyards, and historic towns.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c73ba388190bcedc29fbdd22f3c |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93991e9c8190a6834b8d9fd82128 |
completed | April 1, 2026, 3:40 a.m. |
Created at: March 30, 2026, 5:17 p.m.