Triple
T32103275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uman |
E819910
|
entity |
| Predicate | SofiyivkaParkEstablished |
P173566
|
FINISHED |
| Object | late 18th century |
—
|
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: late 18th century | Statement: [Uman, SofiyivkaParkEstablished, late 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SofiyivkaParkEstablished Context triple: [Uman, SofiyivkaParkEstablished, late 18th century]
-
A.
createdAsPublicPark
Indicates that something was originally established or designated for use as a public park.
-
B.
oldestParkYearEstablished
Indicates the year in which the oldest park associated with a given entity was originally established.
-
C.
cityParkOf
Indicates that one entity is a city park that is located within or belongs to a particular city.
-
D.
cityParkName
Indicates that the predicate specifies the name of a city park associated with a given entity.
-
E.
originalParkName
Indicates the relationship where a park is associated with its original or former official name.
- 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_69f6b6979318819087408741cae8bfe5 |
completed | May 3, 2026, 2:44 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:26 a.m.