Triple
T14933373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Füssen |
E372327
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object | Forggensee lake |
E209090
|
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: Forggensee lake | Statement: [Füssen, touristAttraction, Forggensee lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forggensee lake Context triple: [Füssen, touristAttraction, Forggensee lake]
-
A.
Forggensee
chosen
Forggensee is a large artificial lake in Bavaria, Germany, popular for boating and scenic views of the surrounding Alps and nearby castles.
-
B.
Thumsee lake
Thumsee lake is a scenic alpine lake near Bad Reichenhall in Bavaria, Germany, popular for swimming, hiking, and nature recreation.
-
C.
Staffelsee
Staffelsee is a picturesque lake in southern Bavaria, Germany, known for its islands, warm bathing waters, and scenic Alpine surroundings.
-
D.
Großer Wannsee lake
Großer Wannsee lake is a popular recreational lake in southwestern Berlin, known for its beaches, sailing, and proximity to historically significant sites.
-
E.
Scharmützelsee
Scharmützelsee is a popular lake in eastern Germany known for its scenic surroundings, recreational activities, and spa resorts.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968bbbac8190a258c42b226f9def |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:37 a.m.