Triple
T9196915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostallgäu |
E220737
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Weißensee (lake) |
E770754
|
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: Weißensee (lake) | Statement: [Ostallgäu, contains, Weißensee (lake)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weißensee (lake) Context triple: [Ostallgäu, contains, Weißensee (lake)]
-
A.
Weißensee (lake)
chosen
Weißensee is a scenic alpine lake in Bavaria, Germany, known for its clear waters, surrounding mountain landscapes, and recreational opportunities such as swimming, boating, and hiking.
-
B.
Weißensee
Weißensee is a locality in Berlin known for its historic lake, residential neighborhoods, and cultural institutions, situated within the borough of Pankow.
-
C.
Grabensee
Grabensee is a small lake in the Austrian state of Salzburg, known for its natural surroundings and recreational opportunities.
-
D.
Weissensee
Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
-
E.
Hallwilersee
Hallwilersee is a scenic lake in the Swiss cantons of Aargau and Lucerne, popular for recreation, boating, and nature conservation.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87d6460819097234b5dd3f749b4 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c3b1af48190bb03af15232c510d |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:25 p.m.