Triple
T32103276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uman |
E819910
|
entity |
| Predicate | SofiyivkaParkStyle |
P12265
|
FINISHED |
| Object | Romantic landscape 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: Romantic landscape garden | Statement: [Uman, SofiyivkaParkStyle, Romantic landscape garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SofiyivkaParkStyle Context triple: [Uman, SofiyivkaParkStyle, Romantic landscape garden]
-
A.
SofiyivkaParkEstablished
Indicates that an entity (typically a park) is the one that was established as Sofiyivka Park.
-
B.
cityParkOf
Indicates that one entity is a city park that is located within or belongs to a particular city.
-
C.
isUrbanPark
Indicates that a location is designated and used as a public park within an urban or metropolitan area.
-
D.
parkType
chosen
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
-
E.
streetscapeStyle
Indicates the characteristic visual and design style that defines the overall appearance and layout of a street and its surrounding public realm.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b967d5308190bbb66d0a8dd52612 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:26 a.m.