Triple
T34750659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (2060) |
E1001765
|
entity |
| Predicate | primaryFunctionAfterWar |
—
|
GENERATED |
| Object | resumed civilian passenger service |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFunctionAfterWar Context triple: [SS Empress of Canada (2060), primaryFunctionAfterWar, resumed civilian passenger service]
-
A.
postWarFunction
chosen
Indicates how something operated, was used, or what role it served in the period following a war.
-
B.
roleAfterWar
Indicates the role or position an entity assumes following the end of a war or armed conflict.
-
C.
primaryUseLateWar
Indicates that something was used primarily during the later phase of a war, rather than in its early or middle stages.
-
D.
usedAfterWar
Indicates that an entity came into use only after a specific war or conflict had ended.
-
E.
statusPostWar
Indicates the condition or situation of an entity after a war has ended.
- F. None of above.
Provenance (1 batch)
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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.