Triple
T23510335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwerin Hauptbahnhof |
E572401
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Ludwigslust |
—
|
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: Ludwigslust | Statement: [Schwerin Hauptbahnhof, connectsTo, Ludwigslust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludwigslust Context triple: [Schwerin Hauptbahnhof, connectsTo, Ludwigslust]
-
A.
Ludwigslust
chosen
Ludwigslust is a small town in northern Germany known for its Baroque palace complex and landscaped park, which once served as a ducal residence.
-
B.
Bad Klosterlausnitz
Bad Klosterlausnitz is a spa town in the German state of Thuringia, known for its therapeutic facilities and surrounding forested landscapes.
-
C.
Wörlitz
Wörlitz is a historic town in Saxony-Anhalt, Germany, best known for its UNESCO-listed Dessau-Wörlitz Garden Realm, one of the earliest and most significant landscape parks in continental Europe.
-
D.
Friedrichsruh
Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
-
E.
Lispenhausen
Lispenhausen is a village and district of the town Rotenburg an der Fulda in the state of Hesse, 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a90455f0819092b37c69d7e73c43 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:07 p.m.