Triple
T17585211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panther Affair |
E428303
|
entity |
| Predicate | hasParticipant |
P149
|
FINISHED |
| Object | SMS Panther |
—
|
NE NERFINISHED |
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: SMS Panther | Statement: [Panther Affair, hasParticipant, SMS Panther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMS Panther Context triple: [Panther Affair, hasParticipant, SMS Panther]
-
A.
SMS Panther
chosen
SMS Panther was a German gunboat whose 1911 deployment to the Moroccan port of Agadir helped trigger the Second Moroccan Crisis and heighten pre–World War I tensions among European powers.
-
B.
SMS Pommern
SMS Pommern was a pre-dreadnought battleship of the German Imperial Navy that served in World War I and was sunk at the Battle of Jutland in 1916.
-
C.
SMS König
SMS König was a German Kaiser-class battleship that served as the lead ship of her class in the Imperial German Navy during World War I, notably participating in the Battle of Jutland.
-
D.
SMS Gazelle
SMS Gazelle was a 19th-century Prussian naval warship that served as an important vessel in the development and operations of the Prussian Navy.
-
E.
SIM
SIM is the vehicle registration code used on license plates for vehicles registered in the Simmern region of Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d113b08190975506f3558c1eca |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.