Triple
T21864928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Cultural Property Export Review Board |
E539858
|
entity |
| Predicate | objectTypeAssessed |
P131261
|
FINISHED |
| Object | works of art |
—
|
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: works of art | Statement: [Canadian Cultural Property Export Review Board, objectTypeAssessed, works of art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objectTypeAssessed Context triple: [Canadian Cultural Property Export Review Board, objectTypeAssessed, works of art]
-
A.
typicalObjectType
Indicates that something is a common or characteristic type of object typically associated with or involved in another entity or situation.
-
B.
assessedBy
Indicates that an entity has been evaluated, examined, or judged by another entity (typically an agent or authority).
-
C.
typeOfAssessmentInfluenced
Indicates that one entity has an effect on or shapes the kind of assessment applied to another entity.
-
D.
observesType
Indicates that one entity observes, monitors, or takes note of another entity of a specified type.
-
E.
mayBeAssessedOn
chosen
Indicates that an entity is potentially subject to evaluation, measurement, or judgment based on another entity or criterion.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63e70c08190a9ba90c47c4060d4 |
completed | April 28, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:56 p.m.