Triple
T13821339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Lakes Region |
E332140
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Weßlinger See |
E906165
|
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: Weßlinger See | Statement: [Five Lakes Region, hasPart, Weßlinger See]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weßlinger See Context triple: [Five Lakes Region, hasPart, Weßlinger See]
-
A.
Weßlinger See
chosen
Weßlinger See is a small scenic lake in Upper Bavaria, Germany, known for recreation and its picturesque setting within the Bavarian Five Lakes region.
-
B.
Waginger See
Waginger See is a warm, scenic lake in southeastern Bavaria, Germany, popular for swimming, water sports, and tourism in the Chiemgau region.
-
C.
Plauer See
Plauer See is a large lake in northeastern Germany known for its scenic natural surroundings, recreational activities, and role as part of the extensive Mecklenburg lake system.
-
D.
Kleinhesseloher See
Kleinhesseloher See is a scenic artificial lake in Munich’s Englischer Garten, popular for boating, walking, and relaxing by the water.
-
E.
Kettwiger See
Kettwiger See is a reservoir on the Ruhr River in North Rhine-Westphalia, Germany, used for water management, recreation, and local energy production.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0284428081908043c55caeefb833 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08c21a48190b4077d5acb4ab658 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:12 p.m.