Triple
T3967069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eisbären Berlin |
E92241
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Eisbären |
E92241
|
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: Eisbären | Statement: [Eisbären Berlin, nickname, Eisbären]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eisbären Context triple: [Eisbären Berlin, nickname, Eisbären]
-
A.
Blitzen
Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
B.
The Bears
The Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
-
C.
Eisbären Berlin
chosen
Eisbären Berlin is a professional ice hockey team based in Berlin, Germany, and one of the most successful and popular clubs in German ice hockey.
-
D.
Badgers
Badgers is the nickname for the athletic teams representing the University of Wisconsin–Madison in collegiate sports.
-
E.
Huskies
Huskies is the nickname for the University of Washington’s athletic teams, known especially for their prominent football program and strong presence in NCAA Division I sports.
- 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_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_69b54006b5e48190973e30055a0893a5 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.