Triple
T36699677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (2036) |
E906189
|
entity |
| Predicate | hasPlannedOperatingEnvironment |
P72813
|
FINISHED |
| Object | open ocean |
—
|
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: open ocean | Statement: [SS Empress of Canada (2036), hasPlannedOperatingEnvironment, open ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedOperatingEnvironment Context triple: [SS Empress of Canada (2036), hasPlannedOperatingEnvironment, open ocean]
-
A.
appliesToOperationalEnvironment
chosen
Indicates that something (such as a rule, requirement, or condition) is relevant to, valid in, or specifically intended for a particular operational environment.
-
B.
hasSoftwareEnvironment
Indicates that an entity is associated with, or operates within, a particular software environment or configuration.
-
C.
hasTrainingEnvironment
Indicates that an entity is associated with, or operates within, a specific environment or setting used for training or practice.
-
D.
hasGeneralEnvironment
Indicates that an entity exists or operates within a broad or overall environmental context or setting.
-
E.
plannedCapability
Indicates that an entity is intended or scheduled to possess or provide a particular capability in the future.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: May 3, 2026, 4:12 p.m.