Triple
T20094139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlskoga |
E496352
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Möckeln |
E455452
|
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: Lake Möckeln | Statement: [Karlskoga, locatedNear, Lake Möckeln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Möckeln Context triple: [Karlskoga, locatedNear, Lake Möckeln]
-
A.
Lake Möckeln
chosen
Lake Möckeln is a freshwater lake in central Sweden known for bordering the industrial town of Karlskoga and offering recreational activities such as fishing and boating.
-
B.
Mirower See
Mirower See is a lake in the Mecklenburg Lake District of northeastern Germany, known for its scenic surroundings and recreational water activities.
-
C.
Kulkwitzer See
Kulkwitzer See is a popular lake and leisure area in Saxony, Germany, known for swimming, diving, and other outdoor recreational activities.
-
D.
Wandlitzsee
Wandlitzsee is a scenic lake in Brandenburg, Germany, known for recreation, bathing, and its proximity to the village of Wandlitz.
-
E.
Schlachtensee
Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666a7a94819080ebabfba9762f97 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082709bec8819085418d3d93108d81 |
completed | May 16, 2026, 8:12 a.m. |
Created at: April 11, 2026, 11:23 p.m.