Triple
T16408755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krefeld |
E398502
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Fischeln |
E191565
|
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: Fischeln | Statement: [Krefeld, hasDistrict, Fischeln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fischeln Context triple: [Krefeld, hasDistrict, Fischeln]
-
A.
Fischeln
chosen
Fischeln is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
-
B.
Schwarze Elster
Schwarze Elster is a river in eastern Germany that flows through Saxony, Brandenburg, and Saxony-Anhalt before joining the Elbe.
-
C.
Zweiohrküken
Zweiohrküken is a 2009 German romantic comedy film and sequel to Keinohrhasen, directed by and starring Til Schweiger.
-
D.
Flaemmchen
Flaemmchen is a young, ambitious stenographer and aspiring actress in Vicki Baum’s novel (and its film adaptation) "Grand Hotel," representing the struggles and dreams of working-class women in Weimar-era Berlin.
-
E.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c64a05c8190a59e800ce2318052 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.