Triple
T2466224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German battleship Scharnhorst |
E55253
|
entity |
| Predicate | sank |
P3147
|
FINISHED |
| Object | HMS Rawalpindi |
E277126
|
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: HMS Rawalpindi | Statement: [German battleship Scharnhorst, sank, HMS Rawalpindi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HMS Rawalpindi Context triple: [German battleship Scharnhorst, sank, HMS Rawalpindi]
-
A.
HMS Rawalpindi
chosen
HMS Rawalpindi was a British armed merchant cruiser in World War II, famed for her doomed but courageous stand against vastly superior German battleships.
-
B.
HMS Sikh
HMS Sikh was a British Tribal-class destroyer of the Royal Navy that served prominently during the early years of World War II.
-
C.
HMS Electra
HMS Electra was a British Royal Navy destroyer that saw significant action in the early Pacific War of World War II before being sunk during the Battle of the Java Sea in 1942.
-
D.
HMS Zulu
HMS Zulu was a Tribal-class destroyer of the Royal Navy that served during the Second World War, noted for its operations in the Mediterranean and Arctic waters.
-
E.
HMS Heron
HMS Heron is the Royal Navy’s Fleet Air Arm air station at Yeovilton in Somerset, serving as a major base for naval aviation operations and training.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd122db8881909ef3c0a1df7ff7a5 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af906499688190a21984590b8caadc |
completed | March 10, 2026, 3:30 a.m. |
Created at: March 6, 2026, 9:44 p.m.