Triple
T15989612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Workday |
E387789
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | ADP |
E557960
|
NE 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: ADP | Statement: [Workday, hasCompetitor, ADP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADP Context triple: [Workday, hasCompetitor, ADP]
-
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.
Workday
Workday is a cloud-based enterprise software company best known for its human capital management and financial management applications used by large organizations worldwide.
-
D.
ASDP
ASDP is the professional abbreviation for the American Society of Dermatopathology, an organization dedicated to the study and advancement of skin pathology.
-
E.
ADK
ADK is the National Rail station code for Ardwick railway station in Manchester, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.