Triple
T7059760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köpenick |
E164184
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Köpenicker Stadtforst |
E637959
|
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: Köpenicker Stadtforst | Statement: [Köpenick, hasGreenSpace, Köpenicker Stadtforst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köpenicker Stadtforst Context triple: [Köpenick, hasGreenSpace, Köpenicker Stadtforst]
-
A.
Köpenicker Forst
chosen
Köpenicker Forst is a large forested nature reserve in the Köpenick district of Berlin, known for its extensive woodlands, wetlands, and recreational trails.
-
B.
Tegeler Forst
Tegeler Forst is a large forested area in the Berlin district of Tegel, known for its natural landscapes, walking trails, and recreational opportunities.
-
C.
Schorfheide forest
Schorfheide forest is a large historic woodland and former royal hunting reserve in Brandenburg, Germany, known for its rich biodiversity and use as a retreat by political leaders.
-
D.
Amager Fælled
Amager Fælled is a large urban nature reserve on Copenhagen’s Amager Island, known for its wetlands, meadows, and rich biodiversity amid the city.
-
E.
Westfalenpark
Westfalenpark is a large public park in Dortmund, Germany, known for its extensive green spaces, gardens, and the landmark Florian television tower.
- 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_69c7944809348190bfc96df73f1363b3 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:38 p.m.