Triple
T3688940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innerste |
E78296
|
entity |
| Predicate | riverSystem |
P1009
|
FINISHED |
| Object | Weser river system |
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 river system | Statement: [Innerste, riverSystem, Weser river system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weser river system Context triple: [Innerste, riverSystem, Weser river system]
-
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.
Rhine–Meuse river system
The Rhine–Meuse river system is a major interconnected river network in Western Europe that drains large parts of the Alps and low countries before emptying into the North Sea through multiple distributaries.
-
C.
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.
-
D.
Rhine
The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
-
E.
River Havel
The River Havel is a major waterway in northeastern Germany that flows through Berlin and Brandenburg, connecting several lakes and cities before joining the Elbe River.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c960788190b73ede08658846aa |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4e5906481909c0d0989dde7743f |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:26 p.m.