Triple
T38453448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (1983) |
E912239
|
entity |
| Predicate | builtInScotland |
P190764
|
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 (1983), builtInScotland, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtInScotland Context triple: [SS Empress of Canada (1983), builtInScotland, true]
-
A.
hasCapitalCityOfScotland
Indicates the relationship in which an entity has, as its capital city, the city that serves as the capital of Scotland.
-
B.
introducedToScotlandBy
Indicates that one entity was responsible for bringing or establishing another entity in Scotland for the first time.
-
C.
cameToScotland
Indicates that an entity moved or traveled to Scotland from another location.
-
D.
styleInScotland
Indicates that something is characterized by, designed in, or follows a style associated with Scotland.
-
E.
replacesInScotland
Indicates that one entity takes over the role, function, or position of another entity specifically within the context of Scotland.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcce7a25848190bdc66efcbc7cae3a |
completed | May 7, 2026, 5:40 p.m. |
Created at: May 3, 2026, 4:31 p.m.