Triple
T20016534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Land (Blaues Land) region |
E494734
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kochelsee |
—
|
NE NERFINISHED |
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: Kochelsee | Statement: [Blue Land (Blaues Land) region, contains, Kochelsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kochelsee Context triple: [Blue Land (Blaues Land) region, contains, Kochelsee]
-
A.
Kochelsee
chosen
Kochelsee is a picturesque lake in Upper Bavaria, Germany, known for its alpine scenery and popular outdoor recreation opportunities.
-
B.
Zermützelsee
Zermützelsee is a lake in the Ostprignitz-Ruppin district of Brandenburg, Germany, known for its natural surroundings and recreational opportunities.
-
C.
Stölpchensee
Stölpchensee is a small lake in southwestern Berlin, Germany, known for its scenic setting within the Grunewald forest and its connection to the nearby Großer Wannsee.
-
D.
Walchsee
Walchsee is a picturesque lake and village in the Austrian state of Tyrol, known for its alpine scenery and outdoor recreational activities.
-
E.
Parsteiner See
Parsteiner See is a scenic natural lake in Brandenburg, Germany, known for its clear waters, surrounding forests, and popularity for swimming and nature recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623cb8188190b95913ffed895930 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.