Triple
T2775118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Leine |
E61548
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Weser basin |
E33257
|
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: Weser basin | Statement: [River Leine, partOf, Weser basin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weser basin Context triple: [River Leine, partOf, Weser basin]
-
A.
Weser
chosen
The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
-
B.
Ruhr
The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
-
C.
Aller-Leine Valley
The Aller-Leine Valley is a scenic river landscape in Lower Saxony, Germany, known for its wetlands, nature reserves, and outdoor recreation opportunities.
-
D.
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.
-
E.
Rheine
Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd7f9570819087f1b1cb59d68586 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b23582f3508190a9eb50e11a08d0f5 |
completed | March 12, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:57 p.m.