Triple
T19209325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Automatic Data Processing |
E480315
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | ADP Canada |
—
|
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: ADP Canada | Statement: [Automatic Data Processing, hasSubsidiary, ADP Canada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADP Canada Context triple: [Automatic Data Processing, hasSubsidiary, ADP Canada]
-
A.
ADP
chosen
ADP is a leading global provider of payroll, human capital management, and HR outsourcing solutions for businesses of all sizes.
-
B.
Groupe ADP
Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
-
C.
Ceridian Corporation
Ceridian Corporation is a human capital management and payroll technology company known for providing cloud-based workforce and HR solutions to businesses.
-
D.
Pertemps Network
Pertemps Network is a UK-based recruitment and staffing agency known for its nationwide network of offices and involvement in high-profile sports sponsorships.
-
E.
Paycor, Inc.
Paycor, Inc. is a U.S.-based provider of human capital management and payroll software solutions for small and midsize businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f9a000188190afb762ea24bc3deb |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:20 p.m.