Triple
T19209331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Automatic Data Processing |
E480315
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | ADP GlobalView Payroll |
—
|
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 GlobalView Payroll | Statement: [Automatic Data Processing, hasProduct, ADP GlobalView Payroll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADP GlobalView Payroll Context triple: [Automatic Data Processing, hasProduct, ADP GlobalView Payroll]
-
A.
Paylocity
Paylocity is a U.S.-based provider of cloud payroll and human capital management software solutions for businesses.
-
B.
Paycom
Paycom is a U.S.-based software company that provides cloud-based payroll and human capital management solutions to businesses.
-
C.
ADP
chosen
ADP is a leading global provider of payroll, human capital management, and HR outsourcing solutions for businesses of all sizes.
-
D.
Paychex
Paychex is a leading American provider of payroll, human resources, and benefits outsourcing services for small to mid-sized businesses.
-
E.
Paycom Center
Paycom Center is a multi-purpose indoor arena in downtown Oklahoma City best known as the home of the NBA’s Oklahoma City Thunder.
- 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.