Triple
T2144674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial German Navy |
E47035
|
entity |
| Predicate | notableShip |
P3345
|
FINISHED |
| Object | SMS Emden |
E29348
|
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: SMS Emden | Statement: [Imperial German Navy, notableShip, SMS Emden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMS Emden Context triple: [Imperial German Navy, notableShip, SMS Emden]
-
A.
SMS Lützow
SMS Lützow was a German Derfflinger-class battlecruiser of the Imperial Navy that served as Vice Admiral Hipper’s flagship and was heavily damaged and scuttled during the Battle of Jutland in World War I.
-
B.
SMS Seydlitz
SMS Seydlitz was a German battlecruiser of the Imperial Navy, renowned for her resilience and heavy damage sustained while serving as a flagship during major World War I naval engagements.
-
C.
SMDS
SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
-
D.
Emden
chosen
Emden is a historic port city in northwestern Germany known for its maritime industry and location near the North Sea.
-
E.
SIM
SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe223f848190a60bd0f15aed1021 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51b8152c81908c66d389bf14dc7e |
completed | March 9, 2026, 4:51 a.m. |
Created at: March 4, 2026, 7:44 p.m.