Triple
T20970957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schweriner Ufer islands |
E516490
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Baumwerder |
—
|
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: Baumwerder | Statement: [Schweriner Ufer islands, locatedNear, Baumwerder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baumwerder Context triple: [Schweriner Ufer islands, locatedNear, Baumwerder]
-
A.
Baumwerder
chosen
Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
-
B.
Eichelbaum
Eichelbaum is a German-language surname borne by various individuals, including figures in law, arts, and public life.
-
C.
Bramfeld
Bramfeld is a residential and commercial quarter in the northeast of Hamburg, Germany, known for its mix of housing estates, local shopping centers, and green spaces.
-
D.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
E.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba027708190a49e95b0031d980d |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:43 p.m.