Triple
T27982075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One-Year MBA |
E706650
|
entity |
| Predicate | hasStudyPace |
P37158
|
FINISHED |
| Object | accelerated |
—
|
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: accelerated | Statement: [One-Year MBA, hasStudyPace, accelerated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudyPace Context triple: [One-Year MBA, hasStudyPace, accelerated]
-
A.
hasStudied
Indicates that an entity has engaged in learning or academic work related to another entity (such as a subject, field, or course).
-
B.
hasBeenStudiedFor
Indicates that an entity has been the subject of research, examination, or analysis for a specified purpose, topic, or application.
-
C.
hasPaceGroups
Indicates that an event or activity is organized into distinct groups based on participants’ pace or speed.
-
D.
programPace
chosen
Indicates the speed or rate at which a program, course, or sequence of activities progresses over time.
-
E.
hasBeenStudiedSince
Indicates that an entity has been the subject of study or research starting from a specified point in time and continuing thereafter.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: April 27, 2026, 7:45 p.m.