Triple
T11294829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinking of Blücher |
E267422
|
entity |
| Predicate | shipSunk |
P821
|
FINISHED |
| Object | Blücher |
E348078
|
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: Blücher | Statement: [Sinking of Blücher, shipSunk, Blücher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blücher Context triple: [Sinking of Blücher, shipSunk, Blücher]
-
A.
Blücher
chosen
Blücher was a German armored cruiser of the Imperial Navy that served in World War I and was famously sunk during the 1915 Battle of Dogger Bank in the North Sea.
-
B.
Heinrich Blücher
Heinrich Blücher was a German-born political thinker and educator, known for his anti-fascist activism and for his intellectual partnership with philosopher Hannah Arendt.
-
C.
Langsdorff
Langsdorff is a German surname most notably associated with Hans Langsdorff, the captain of the World War II German pocket battleship Admiral Graf Spee.
-
D.
Lützow
Lützow was a German heavy cruiser (originally the pocket battleship Deutschland) that served in the Kriegsmarine during World War II.
-
E.
Lützow
Lützow is a municipality in the district of Nordwestmecklenburg in the northern German state of Mecklenburg-Vorpommern.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98b149481909f432a6b9ef8bfbb |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5259b1cb88190befc24f5f3a06da9 |
completed | April 19, 2026, 6:57 p.m. |
Created at: April 8, 2026, 9:32 p.m.