Triple
T34599025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (1967) |
E888402
|
entity |
| Predicate | convertedToCruiseShip |
P21289
|
FINISHED |
| Object | Mardi Gras |
—
|
NE NERFINISHED |
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: Mardi Gras | Statement: [SS Empress of Canada (1967), convertedToCruiseShip, Mardi Gras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToCruiseShip Context triple: [SS Empress of Canada (1967), convertedToCruiseShip, Mardi Gras]
-
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.
becameMuseumShip
Indicates that a vessel or ship was converted from active service into a museum exhibit open to the public.
-
D.
aboardShip
Indicates that one entity is physically on or inside a ship, typically as a passenger, crew member, or cargo.
-
E.
voyageOn
Indicates that an entity is traveling or being transported aboard a particular vessel or means of sea (or space) travel.
- 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 1, 2026, 2:03 a.m.