Triple
T3967062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eisbären Berlin |
E92241
|
entity |
| Predicate | formerHomeArena |
P904
|
FINISHED |
| Object |
Wellblechpalast
Wellblechpalast is an ice hockey arena in Berlin best known as the longtime home of the Eisbären Berlin before their move to larger, modern venues.
|
E401629
|
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: Wellblechpalast | Statement: [Eisbären Berlin, formerHomeArena, Wellblechpalast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wellblechpalast Context triple: [Eisbären Berlin, formerHomeArena, Wellblechpalast]
-
A.
Am Hof
Am Hof is a historic square in Vienna’s Innere Stadt district, known for its medieval origins, notable architecture, and role as a former center of civic and religious life.
-
B.
Bad Harzburg
Bad Harzburg is a German spa and resort town on the northern edge of the Harz Mountains, known for its thermal baths, hiking trails, and historic castle ruins.
-
C.
Zeughaus
Zeughaus is Berlin’s historic former arsenal on Unter den Linden, now housing the German Historical Museum.
-
D.
Schmalzturm
Schmalzturm is a historic medieval tower in the Bavarian town of Landsberg am Lech, notable as a landmark of its old town fortifications.
-
E.
Tränenpalast
Tränenpalast is a former border crossing hall at Berlin’s Friedrichstraße station, now a museum documenting the history of German division and the Cold War.
- 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: Wellblechpalast Triple: [Eisbären Berlin, formerHomeArena, Wellblechpalast]
Generated description
Wellblechpalast is an ice hockey arena in Berlin best known as the longtime home of the Eisbären Berlin before their move to larger, modern venues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wellblechpalast Target entity description: Wellblechpalast is an ice hockey arena in Berlin best known as the longtime home of the Eisbären Berlin before their move to larger, modern venues.
-
A.
Am Hof
Am Hof is a historic square in Vienna’s Innere Stadt district, known for its medieval origins, notable architecture, and role as a former center of civic and religious life.
-
B.
Bad Harzburg
Bad Harzburg is a German spa and resort town on the northern edge of the Harz Mountains, known for its thermal baths, hiking trails, and historic castle ruins.
-
C.
Zeughaus
Zeughaus is Berlin’s historic former arsenal on Unter den Linden, now housing the German Historical Museum.
-
D.
Schmalzturm
Schmalzturm is a historic medieval tower in the Bavarian town of Landsberg am Lech, notable as a landmark of its old town fortifications.
-
E.
Tränenpalast
Tränenpalast is a former border crossing hall at Berlin’s Friedrichstraße station, now a museum documenting the history of German division and the Cold War.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef976f4fc8190b2c16ab62c19cdb8 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533c189a88190b3a81c63621b98ac |
completed | March 14, 2026, 10:09 a.m. |
| NEDg | Description generation | batch_69b5346fb3648190b2b72e10179588ed |
completed | March 14, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534e98b8081909c2b71ff20fe0bb4 |
completed | March 14, 2026, 10:14 a.m. |
Created at: March 9, 2026, 3:32 p.m.