Triple
T15046023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staaken |
E379226
|
entity |
| Predicate | locatedWestOf |
P4239
|
FINISHED |
| Object | Spandau center |
E78225
|
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: Spandau center | Statement: [Staaken, locatedWestOf, Spandau center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spandau center Context triple: [Staaken, locatedWestOf, Spandau center]
-
A.
Neukölln Arcaden
Neukölln Arcaden is a large shopping mall and leisure complex in Berlin’s Neukölln district, known for its diverse retail stores, eateries, and popular rooftop terrace.
-
B.
Spandau
chosen
Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
-
C.
Potsdamer Platz
Potsdamer Platz is a major public square and traffic intersection in central Berlin that became a symbol of the city's reunification and modern redevelopment after the Cold War.
-
D.
Berlin-Moabit
Berlin-Moabit is a central Berlin neighborhood known for its industrial heritage, diverse population, and proximity to major transport and government districts.
-
E.
Berlin Ostkreuz
Berlin Ostkreuz is one of Berlin’s busiest and most important railway hubs, serving as a key interchange point for multiple S-Bahn and regional train lines in the city’s eastern area.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.