Triple
T8053350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa Cipressi |
E187728
|
entity |
| Predicate | gardenAccess |
P80770
|
FINISHED |
| Object | ticketed for non-guests |
—
|
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: ticketed for non-guests | Statement: [Villa Cipressi, gardenAccess, ticketed for non-guests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gardenAccess Context triple: [Villa Cipressi, gardenAccess, ticketed for non-guests]
-
A.
gardenAccessibility
Indicates how easily people can enter, move through, and use a garden space, considering factors like paths, entrances, and accommodations for different mobility needs.
-
B.
containsGarden
Indicates that one entity includes or has a garden within its area or boundaries.
-
C.
gardenFeature
Indicates that one entity serves as a feature, element, or component within a garden associated with another entity.
-
D.
hasGardenType
Indicates that an entity possesses or is associated with a garden of a specified type.
-
E.
gardenManagedBy
Indicates that a garden is overseen, maintained, or administered by a particular person, group, or organization.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7c425c8190aa1b2f534afeb58c |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:25 p.m.