Triple
T7059738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köpenick |
E164184
|
entity |
| Predicate | hasProtectedArea |
P855
|
FINISHED |
| Object | Müggelberge |
E623521
|
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: Müggelberge | Statement: [Köpenick, hasProtectedArea, Müggelberge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Müggelberge Context triple: [Köpenick, hasProtectedArea, Müggelberge]
-
A.
Müggelberge
chosen
Müggelberge is a wooded hill range in southeastern Berlin, Germany, known as one of the city’s highest natural elevations and a popular local recreation area.
-
B.
Hamburgsund
Hamburgsund is a small coastal village in western Sweden known for its picturesque archipelago setting, fishing heritage, and popular summer tourism.
-
C.
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.
-
D.
Halderberge
Halderberge is a municipality in the Dutch province of North Brabant, known for its historic towns such as Oudenbosch and its mix of rural landscapes and small urban centers.
-
E.
Norderney
Norderney is a popular German North Sea island known for its sandy beaches, seaside resort town, and role as a major tourist destination in Lower Saxony.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788a8c4b481908193ffc795b75796 |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:38 p.m.