Triple
T36372838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (1971) |
E895810
|
entity |
| Predicate | conversionToCruiseShip |
P21289
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [SS Empress of Canada (1971), conversionToCruiseShip, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToCruiseShip Context triple: [SS Empress of Canada (1971), conversionToCruiseShip, 1972]
-
A.
conversionOfShip
chosen
Indicates the process by which a ship is altered or transformed from one configuration, role, or specification into another.
-
B.
cruiseCapability
Indicates the ability of an entity to travel or operate in a steady, sustained cruising mode under its own power.
-
C.
voyageType
Indicates the specific category or nature of a journey or trip that an entity undertakes.
-
D.
cruiseSpeed
Indicates the typical or optimal speed at which an entity is intended to travel under normal operating conditions.
-
E.
convertedToHotel
Indicates that something previously used for another purpose has been transformed and repurposed into a hotel.
- 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:10 p.m.