Triple
T8031797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braunsbedra |
E187000
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Geiseltal lake area |
E507951
|
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: Geiseltal lake area | Statement: [Braunsbedra, locatedNear, Geiseltal lake area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geiseltal lake area Context triple: [Braunsbedra, locatedNear, Geiseltal lake area]
-
A.
Thumsee lake
Thumsee lake is a scenic alpine lake near Bad Reichenhall in Bavaria, Germany, popular for swimming, hiking, and nature recreation.
-
B.
Staffelsee
Staffelsee is a picturesque lake in southern Bavaria, Germany, known for its islands, warm bathing waters, and scenic Alpine surroundings.
-
C.
Goitzsche lake
chosen
Goitzsche lake is a large artificial lake in Saxony-Anhalt, Germany, created by flooding former open-cast lignite mines and now used as a recreational and nature area.
-
D.
Scharmützelsee
Scharmützelsee is a popular lake in eastern Germany known for its scenic surroundings, recreational activities, and spa resorts.
-
E.
Grunewaldsee
Grunewaldsee is a popular forest lake in Berlin known for its scenic surroundings and dog-friendly bathing areas.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef18da48190835454a5eb969da7 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56e812dc81908916fc7163ae344a |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.