Triple
T7813249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Berlin |
E180737
|
entity |
| Predicate | mainFigure |
P1183
|
FINISHED |
| Object |
Berlin Bear
The Berlin Bear is the heraldic symbol and mascot of the German capital, prominently featured on its coat of arms and city flag.
|
E694704
|
NE FINISHED |
How this triple was built (4 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: Berlin Bear | Statement: [Coat of arms of Berlin, mainFigure, Berlin Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin Bear Context triple: [Coat of arms of Berlin, mainFigure, Berlin Bear]
-
A.
Berlin Hundekehle
Berlin Hundekehle was the former name of a suburban railway station in Berlin’s Grunewald district, later known as S-Bahn station Berlin Grunewald.
-
B.
Berlinchen
Berlinchen is a small town in what is now Poland (formerly part of Germany) known historically as the birthplace of world chess champion Emanuel Lasker.
-
C.
Berliner
Berliner is a German-origin surname most notably associated with Emile Berliner, the inventor of the gramophone and a pioneer in sound recording technology.
-
D.
Berlin B
Berlin B is one of the public transport fare zones in Berlin, covering the outer areas of the city beyond the central A zone.
-
E.
Berlin Ost
Berlin Ost was the former name of Berlin Ostbahnhof, a major railway station in the eastern part of Berlin, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Berlin Bear Triple: [Coat of arms of Berlin, mainFigure, Berlin Bear]
Generated description
The Berlin Bear is the heraldic symbol and mascot of the German capital, prominently featured on its coat of arms and city flag.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berlin Bear Target entity description: The Berlin Bear is the heraldic symbol and mascot of the German capital, prominently featured on its coat of arms and city flag.
-
A.
Berlin Hundekehle
Berlin Hundekehle was the former name of a suburban railway station in Berlin’s Grunewald district, later known as S-Bahn station Berlin Grunewald.
-
B.
Berlinchen
Berlinchen is a small town in what is now Poland (formerly part of Germany) known historically as the birthplace of world chess champion Emanuel Lasker.
-
C.
Berliner
Berliner is a German-origin surname most notably associated with Emile Berliner, the inventor of the gramophone and a pioneer in sound recording technology.
-
D.
Berlin B
Berlin B is one of the public transport fare zones in Berlin, covering the outer areas of the city beyond the central A zone.
-
E.
Berlin Ost
Berlin Ost was the former name of Berlin Ostbahnhof, a major railway station in the eastern part of Berlin, Germany.
- F. None of above. chosen
Provenance (5 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78f3d6481909841d64117f657e1 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1472ee908190b073819f3dfad8ee |
completed | March 31, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_69cb1732bb608190aa776f23f0dc6189 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a56d25881908b8413b82edf5508 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:38 p.m.