Triple
T34357232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (1962) |
E881765
|
entity |
| Predicate | serviceEndAsEmpressOfCanada |
P37781
|
FINISHED |
| Object | 1971 |
—
|
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: 1971 | Statement: [SS Empress of Canada (1962), serviceEndAsEmpressOfCanada, 1971]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceEndAsEmpressOfCanada Context triple: [SS Empress of Canada (1962), serviceEndAsEmpressOfCanada, 1971]
-
A.
serviceEnded
Indicates that a previously active service or service relationship has come to an end.
-
B.
realmAsEmpress
Indicates that an entity holds the position or role of empress over a specified realm or domain.
-
C.
serviceToMonarch
Indicates a relationship where one entity provides service, duty, or assistance to a monarch or sovereign ruler.
-
D.
reignAsEmpress
Indicates that a person holds and exercises the supreme imperial authority in the role of empress over a realm or empire.
-
E.
servedUntil
chosen
Indicates the ending time or date up to which an entity held a position, role, or service.
- 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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 1:58 a.m.