Triple
T38041897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (2006) |
E949505
|
entity |
| Predicate | hasMultipleNames |
P198154
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SS Empress of Canada (2006), hasMultipleNames, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleNames Context triple: [SS Empress of Canada (2006), hasMultipleNames, true]
-
A.
nameHasMultipleBearers
Indicates that the same name is shared by more than one distinct entity.
-
B.
hasGivenNameCombination
Indicates that an entity is associated with a specific combination or sequence of given (first) names.
-
C.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
D.
hasGivenNames
Indicates that an entity possesses one or more personal (given) names assigned to it.
-
E.
isShortFormOfMultiNames
Indicates that one term is a shortened or abbreviated form corresponding to multiple different full names.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fecd091abc8190872974de731a80fa |
completed | May 9, 2026, 5:58 a.m. |
Created at: May 3, 2026, 4:20 p.m.