Triple
T7664644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearson VUE |
E173595
|
entity |
| Predicate | offersExamDeliveryFor |
P26484
|
FINISHED |
| Object | information technology certifications |
—
|
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: information technology certifications | Statement: [Pearson VUE, offersExamDeliveryFor, information technology certifications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersExamDeliveryFor Context triple: [Pearson VUE, offersExamDeliveryFor, information technology certifications]
-
A.
offersDeliveryTo
Indicates that one entity provides delivery services to another entity or location.
-
B.
offersPreparationFor
Indicates that one entity provides training, resources, or support intended to ready another entity for a specific task, role, event, or condition.
-
C.
offersServiceTo
Indicates that one entity provides or makes a service available for the benefit or use of another entity.
-
D.
offersProcess
chosen
Indicates that one entity provides or makes available a particular process for use by another entity.
-
E.
offersAccess
Indicates that one entity provides another entity with the ability or permission to use, enter, or interact with a resource, service, or location.
- F. None of above.
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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.