UKG
E295677
UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
All labels observed (4)
| Label | Occurrences |
|---|---|
| UKG canonical | 6 |
| UKG Dimensions | 1 |
| UKG Pro | 1 |
| UKG Ready | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2754583 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UKG Context triple: [NWSL Challenge Cup, sponsor, UKG]
-
A.
UKG39
UKG39 is the NUTS 3 statistical region code assigned to the Wolverhampton area in the United Kingdom.
-
B.
U6
U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
-
C.
U6
U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
-
D.
U1
U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
-
E.
UGKO
UGKO is the ICAO airport code for David the Builder Kutaisi International Airport in Kutaisi, Georgia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UKG Target entity description: UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
-
A.
UKG39
UKG39 is the NUTS 3 statistical region code assigned to the Wolverhampton area in the United Kingdom.
-
B.
U6
U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
-
C.
U6
U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
-
D.
U1
U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
-
E.
UGKO
UGKO is the ICAO airport code for David the Builder Kutaisi International Airport in Kutaisi, Georgia.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
human capital management company
ⓘ
software company ⓘ technology company ⓘ workforce management company ⓘ |
| abbreviationOf |
Ultimate Kronos Group
ⓘ
linked to:
Kronos Incorporated
|
| country |
United States
ⓘ
linked to:
United States of America
|
| dateFounded | 2020 ⓘ |
| deploymentModel |
cloud-based
ⓘ
software as a service ⓘ |
| focusesOn |
employee engagement
ⓘ
human capital management ⓘ labor compliance ⓘ workforce management ⓘ |
| formedByMergerOf |
Kronos Incorporated
ⓘ
Ultimate Software ⓘ |
| formerName |
Ultimate Kronos Group
ⓘ
linked to:
Kronos Incorporated
|
| foundedBy |
Blackstone
ⓘ
linked to:
Blackstone Inc.
Hellman & Friedman ⓘ |
| headquartersLocation |
Lowell, Massachusetts, United States
ⓘ
linked to:
Lowell, Massachusetts
Weston, Florida, United States ⓘ
linked to:
Weston, Florida
|
| industry |
cloud computing
ⓘ
human capital management software ⓘ workforce management software ⓘ |
| keyPerson |
Aron Ain
ⓘ
Chris Todd ⓘ |
| offers |
employee experience solutions
ⓘ
human resources management solutions ⓘ payroll solutions ⓘ scheduling solutions ⓘ talent management solutions ⓘ time and attendance solutions ⓘ workforce analytics solutions ⓘ |
| parentCompany |
Blackstone
ⓘ
linked to:
Blackstone Inc.
Hellman & Friedman ⓘ |
| positionHeldByKeyPerson |
Chief Executive Officer
ⓘ
Executive Chair ⓘ |
| product |
UKG Dimensions
ⓘ
linked to:
UKG
UKG HR Service Delivery ⓘ
linked to:
HR Service Delivery
UKG Pro ⓘ
linked to:
UKG
UKG Ready ⓘ
linked to:
UKG
UKG TeleStaff (legacy) ⓘ UKG Workforce Central (legacy) ⓘ |
| servesIndustry |
financial services
ⓘ
healthcare ⓘ hospitality ⓘ manufacturing ⓘ public sector ⓘ retail ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: UKG Description of subject: UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.