Triple
T15528629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Town of Roses |
E370148
|
entity |
| Predicate | gardeningSpecialty |
P119037
|
FINISHED |
| Object | roses |
—
|
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: roses | Statement: [The Town of Roses, gardeningSpecialty, roses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gardeningSpecialty Context triple: [The Town of Roses, gardeningSpecialty, roses]
-
A.
horticultureProduct
Indicates a relationship where something is a product or output resulting from horticultural activities or cultivation.
-
B.
botanicalSpecialization
Indicates a relationship where an entity is specialized or focused specifically on botany or botanical subjects.
-
C.
gardenFeature
Indicates that one entity serves as a feature, element, or component within a garden associated with another entity.
-
D.
gardensStyle
Indicates the stylistic design or aesthetic tradition according to which a garden is created or arranged.
-
E.
plantingStyle
Indicates the method or arrangement used to plant entities in relation to each other or their environment.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69ded28ab0588190a47a9090d1238707 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57165288190979b7acb71ad5145 |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 4:05 a.m.