Triple
T34400355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (1964) |
E882959
|
entity |
| Predicate | retiredFromCarnival |
P179163
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [SS Empress of Canada (1964), retiredFromCarnival, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromCarnival Context triple: [SS Empress of Canada (1964), retiredFromCarnival, 1993]
-
A.
retiredAtEvent
Indicates that an entity ceased its professional or active role specifically at the time or in the context of a particular event.
-
B.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
C.
temporarilyRetiredFromSetlistsBy
Indicates that a song or piece has been removed from live setlists by a performer or group for a limited, non-permanent period.
-
D.
retiredFromSidelines
Indicates that an entity has ended its role or involvement from a previously inactive, observing, or non-participatory position in a given context.
-
E.
retiredFromRacing
Indicates that an entity has permanently stopped participating in competitive racing activities.
- F. None of above. chosen
Provenance (4 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71c33edac8190a59f6ff19b265fc5 |
completed | May 3, 2026, 9:58 a.m. |
Created at: May 1, 2026, 1:59 a.m.