Triple
T10441677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruhr reservoir system |
E246184
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Baldeneysee |
E317107
|
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: Baldeneysee | Statement: [Ruhr reservoir system, hasPart, Baldeneysee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baldeneysee Context triple: [Ruhr reservoir system, hasPart, Baldeneysee]
-
A.
Baldeneysee
chosen
Baldeneysee is a large artificial lake and popular recreational area on the Ruhr River in Essen, Germany, known for sailing, rowing, and lakeside leisure activities.
-
B.
Braassemermeer
Braassemermeer is a lake in the Dutch province of South Holland, known for recreational boating and water sports.
-
C.
Kloosterveen
Kloosterveen is a residential district of the city of Assen in the province of Drenthe in the Netherlands.
-
D.
Wendsee
Wendsee is a lake in the German state of Brandenburg that forms part of the interconnected waterway system near Plauer See.
-
E.
Münsterländer Bucht
The Münsterländer Bucht is a lowland region in northwestern Germany characterized by fertile plains, agriculture, and the city of Münster as its main urban center.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb9ebf488190ae776bd65e94cb00 |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ed6edd88190afd5063daba58a46 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:15 p.m.