Triple
T20787971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst-Moritz-Arndt-Turm |
E511690
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | central Rügen |
—
|
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: central Rügen | Statement: [Ernst-Moritz-Arndt-Turm, hasViewOf, central Rügen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: central Rügen Context triple: [Ernst-Moritz-Arndt-Turm, hasViewOf, central Rügen]
-
A.
Rügen
Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
-
B.
Hiddensee
Hiddensee is a car-free German Baltic Sea island known for its unspoiled nature, sandy beaches, and role as a tranquil holiday destination west of Rügen.
-
C.
Hiddensee
Hiddensee is a novel by Gregory Maguire that reimagines the backstory of the Nutcracker and its mysterious creator in a dark, folkloric fantasy.
-
D.
Bergen auf Rügen
chosen
Bergen auf Rügen is the central town and administrative hub of Germany’s Baltic Sea island of Rügen, known for its historic old town and proximity to the island’s coastal attractions.
-
E.
Rostock-Land
Rostock-Land was a rural district in the former East German administrative region centered around the city of Rostock.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28d24708190bf3890a22d1ec4b7 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.