Triple
T16987088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cölln town hall |
E412096
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Cölln |
E83946
|
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: Cölln | Statement: [Cölln town hall, locatedIn, Cölln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cölln Context triple: [Cölln town hall, locatedIn, Cölln]
-
A.
Cölln
chosen
Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
-
B.
Falkensee
Falkensee is a town in the Havelland district of Brandenburg, Germany, situated just west of Berlin and functioning largely as a residential suburb of the capital.
-
C.
Grevesmühlen
Grevesmühlen is a small town in the German state of Mecklenburg-Vorpommern, known as a local administrative and service center in the north of the country.
-
D.
Brühl
Brühl is a German town in North Rhine-Westphalia known for its historic architecture and as the birthplace of surrealist artist Max Ernst.
-
E.
Luisenstadt
Luisenstadt is a historic former district of Berlin, Germany, known for its 19th-century urban development and significant cultural and architectural heritage.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27b58908190a643bcbd105b1849 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ece8730819084f4bbbd7579430c |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:32 a.m.