Triple
T19797453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Craven |
E475579
|
entity |
| Predicate | relationshipToGarden |
P107532
|
FINISHED |
| Object | former caretaker |
—
|
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: former caretaker | Statement: [Lily Craven, relationshipToGarden, former caretaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGarden Context triple: [Lily Craven, relationshipToGarden, former caretaker]
-
A.
hasGardenRelation
chosen
Indicates a relationship in which one entity is associated with another through the presence, ownership, or inclusion of a garden.
-
B.
containsGarden
Indicates that one entity includes or has a garden within its area or boundaries.
-
C.
gardenAccess
Indicates that one entity is permitted to enter or use a particular garden area.
-
D.
gardenManagedBy
Indicates that a garden is overseen, maintained, or administered by a particular person, group, or organization.
-
E.
roleInButchartGardens
Indicates that an entity holds or held a specific role, position, or function within the context of Butchart Gardens.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c877288190b56ee7eedea710a3 |
completed | April 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.