Triple
T37598495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hummelo |
E935458
|
entity |
| Predicate | hasNotableGarden |
P107532
|
FINISHED |
| Object | Piet Oudolf’s experimental garden |
—
|
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: Piet Oudolf’s experimental garden | Statement: [Hummelo, hasNotableGarden, Piet Oudolf’s experimental garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableGarden Context triple: [Hummelo, hasNotableGarden, Piet Oudolf’s experimental garden]
-
A.
containsGarden
Indicates that one entity includes or has a garden within its area or boundaries.
-
B.
hasGardenType
Indicates that an entity possesses or is associated with a garden of a specified type.
-
C.
hasGardenSquare
Indicates that an entity includes, is adjacent to, or is otherwise associated with a garden square.
-
D.
hasGardenRelation
chosen
Indicates a relationship in which one entity is associated with another through the presence, ownership, or inclusion of a garden.
-
E.
hasGardenUse
Indicates that something is used for, or serves a particular function within, a garden.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.