Triple
T36588288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (2035) |
E902588
|
entity |
| Predicate | hasPlannedPropulsionType |
P135414
|
FINISHED |
| Object | unknown |
—
|
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: unknown | Statement: [SS Empress of Canada (2035), hasPlannedPropulsionType, unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedPropulsionType Context triple: [SS Empress of Canada (2035), hasPlannedPropulsionType, unknown]
-
A.
plannedPropulsionType
chosen
Indicates the type of propulsion system that is intended or scheduled to be used for an object or vehicle.
-
B.
hasPropulsionComponent
Indicates that an entity includes or is equipped with a component responsible for providing propulsion.
-
C.
propulsionTypeTested
Indicates that a specific type of propulsion has been subjected to testing or experimental evaluation.
-
D.
propulsionTypeOfSystem
Indicates the type of propulsion mechanism that a system uses to generate thrust or movement.
-
E.
propulsionTypeCode
Indicates the specific method or system by which an object or vehicle is propelled or driven.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 3, 2026, 4:11 p.m.