Triple
T18770767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Management Professional certification |
E459010
|
entity |
| Predicate | examDeliveryMode |
P133471
|
FINISHED |
| Object | computer-based testing |
—
|
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: computer-based testing | Statement: [Project Management Professional certification, examDeliveryMode, computer-based testing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examDeliveryMode Context triple: [Project Management Professional certification, examDeliveryMode, computer-based testing]
-
A.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
B.
examTime
Indicates the scheduled time at which an exam is to take place.
-
C.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
D.
examSystem
Indicates a relationship where an entity functions as or belongs to an examination system, such as a framework or platform for creating, administering, or managing exams.
-
E.
examPatternIncludes
Indicates that a particular exam pattern contains or encompasses a specified component, section, or element as part of its structure.
- F. None of above. chosen
Provenance (4 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59335a01881908731371be1e27a6b |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:52 a.m.