Triple
T9610385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauerland |
E232082
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sorpesee |
E228424
|
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: Sorpesee | Statement: [Sauerland, contains, Sorpesee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorpesee Context triple: [Sauerland, contains, Sorpesee]
-
A.
Sorpesee
chosen
Sorpesee is a popular artificial lake in the Sauerland region of Germany, known for recreation, water sports, and scenic surroundings.
-
B.
La Rippe
La Rippe is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and close to the French border.
-
C.
Beloeil
Beloeil is a suburban city in southwestern Quebec, Canada, located along the Richelieu River opposite Mont-Saint-Hilaire and forming part of the greater Montreal area.
-
D.
Unterseen
Unterseen is a historic Swiss town in the Bernese Oberland, situated near Interlaken at the confluence of the Aare and Lombach rivers with views of the surrounding Alps.
-
E.
Garrelsweer
Garrelsweer is a small village in the province of Groningen in the Netherlands, situated within the municipality of Eemsdelta.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a85d4c881909ccab2e972d97e68 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d179491ecc8190a72be68cc5f572b2 |
completed | April 4, 2026, 8:49 p.m. |
Created at: March 30, 2026, 8:08 p.m.