Triple
T24346857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MV Wilhelm Gustloff |
E613663
|
entity |
| Predicate | maritimeDisasterRanking |
P126501
|
FINISHED |
| Object | one of the deadliest ship sinkings in history |
—
|
LITERAL 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: one of the deadliest ship sinkings in history | Statement: [MV Wilhelm Gustloff, maritimeDisasterRanking, one of the deadliest ship sinkings in history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritimeDisasterRanking Context triple: [MV Wilhelm Gustloff, maritimeDisasterRanking, one of the deadliest ship sinkings in history]
-
A.
oneOfDeadliestMaritimeDisastersIn
chosen
Indicates that an event is among the most deadly maritime disasters that occurred within a specified place or time period.
-
B.
numberOfShipwrecks
Indicates the quantity of shipwrecks associated with a given entity or context.
-
C.
shipwreckEvent
Indicates an event in which a ship is destroyed, stranded, or severely damaged, typically resulting in loss or abandonment at sea or near a shoreline.
-
D.
hasShipwrecks
Indicates that one entity contains, includes, or is associated with shipwrecks located within it or under its control.
-
E.
shipwrecksDestroyedIn
Indicates that one or more shipwrecks were destroyed within a specified location or during a particular event or time period.
- F. None of above.
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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932978b88190afc441a3d4805e5f |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.