Triple
T32103277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uman |
E819910
|
entity |
| Predicate | SofiyivkaParkLocatedOn |
P174129
|
FINISHED |
| Object | Kamianets River canyon |
—
|
NE NERFINISHED |
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: Kamianets River canyon | Statement: [Uman, SofiyivkaParkLocatedOn, Kamianets River canyon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SofiyivkaParkLocatedOn Context triple: [Uman, SofiyivkaParkLocatedOn, Kamianets River canyon]
-
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.
cityParkName
Indicates that the predicate specifies the name of a city park associated with a given entity.
-
D.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
E.
hasPublicSquareInFront
Indicates that a building or structure has a public square located directly in front of it.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:26 a.m.