Triple
T10079469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandenburg an der Havel |
E213860
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | River Havel |
E358205
|
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: River Havel | Statement: [Brandenburg an der Havel, locatedOn, River Havel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Havel Context triple: [Brandenburg an der Havel, locatedOn, River Havel]
-
A.
River Havel
chosen
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.
-
B.
Eure River
The Eure River is a tributary of the Seine in northern France that flows through the city of Chartres and several other towns in the Normandy and Centre-Val de Loire regions.
-
C.
River Ock
River Ock is a small river in Oxfordshire, England, that flows through the Vale of White Horse before joining the River Thames.
-
D.
River Leine
The River Leine is a major river in central Germany that flows through the city of Hanover and several federal states before joining the Aller.
-
E.
Unstrut River
The Unstrut River is a tributary of the Saale in central Germany, flowing through Thuringia and Saxony-Anhalt and known for its scenic valleys, 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd031ce748190bb71189afd331979 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6550da881908fd5311e7b46ef24 |
completed | April 5, 2026, 7:21 p.m. |
Created at: March 30, 2026, 9 p.m.