Triple
T17536440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurfürstendamm |
E427071
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Grunewald area |
—
|
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: Grunewald area | Statement: [Kurfürstendamm, connectsTo, Grunewald area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grunewald area Context triple: [Kurfürstendamm, connectsTo, Grunewald area]
-
A.
Grunewald forest
Grunewald forest is a large woodland and recreational area in western Berlin, known for its lakes, walking trails, and natural landscapes.
-
B.
Marienkirchhof area
The Marienkirchhof area is a historic square in Lübeck’s old town, known for its medieval architecture and proximity to major churches and landmarks.
-
C.
Grunewald
chosen
Grunewald is a forested, upscale district in western Berlin known for its large woodland area, lakes, and villas.
-
D.
Karmeliterplatz area
The Karmeliterplatz area is a central square and surrounding neighborhood in Vienna’s Leopoldstadt district, known for its market, local shops, and community life.
-
E.
Berlin Grunewald
Berlin Grunewald is a railway station in Berlin’s Grunewald district, historically known as a departure point for deportation trains during the Nazi era and now serving as a memorial site as well as a local transit hub.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536d03dc81908b8a58f66657c01a |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.