Triple
T38041933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (2050) |
E949506
|
entity |
| Predicate | hasHistoricalNamePattern |
P66486
|
FINISHED |
| Object | Empress of Canada |
—
|
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: Empress of Canada | Statement: [SS Empress of Canada (2050), hasHistoricalNamePattern, Empress of Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalNamePattern Context triple: [SS Empress of Canada (2050), hasHistoricalNamePattern, Empress of Canada]
-
A.
isHistoricalName
Indicates that a given name is a former or past designation historically used for an entity.
-
B.
hasHistoricNameVariant
chosen
Indicates that an entity has an alternative name that was used in a historical period or past context.
-
C.
hasHistoricNickname
Indicates that an entity is known by a nickname that has historical significance or longstanding traditional use.
-
D.
hasHistoricalNameChangeReason
Indicates that there is a specific reason or cause associated with a change in an entity’s historical name.
-
E.
historicalNameType
Indicates that the relationship specifies the type or category of a historical name associated with an entity.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
Created at: May 3, 2026, 4:20 p.m.