Triple
T34750657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (2060) |
E1001765
|
entity |
| Predicate | primaryFunctionBeforeWar |
P120520
|
FINISHED |
| Object | civilian passenger transport |
—
|
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: civilian passenger transport | Statement: [SS Empress of Canada (2060), primaryFunctionBeforeWar, civilian passenger transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFunctionBeforeWar Context triple: [SS Empress of Canada (2060), primaryFunctionBeforeWar, civilian passenger transport]
-
A.
preWarRole
chosen
Indicates the role, position, or function an entity held before the onset of a specified war or conflict.
-
B.
statusBeforeWar
Indicates the condition or situation of an entity as it existed prior to the onset of a specified war.
-
C.
primaryUseLateWar
Indicates that something was used primarily during the later phase of a war, rather than in its early or middle stages.
-
D.
primaryFunctionInPrehistory
Indicates the main role or use an entity had during prehistoric times, before written records.
-
E.
preWarOrigin
Indicates that an entity’s origin, creation, or initial state occurred before a specified war or conflict.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.