Triple
T27982113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One-Year MBA |
E706650
|
entity |
| Predicate | hasCredentialAwarded |
P55991
|
FINISHED |
| Object | MBA degree |
—
|
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: MBA degree | Statement: [One-Year MBA, hasCredentialAwarded, MBA degree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCredentialAwarded Context triple: [One-Year MBA, hasCredentialAwarded, MBA degree]
-
A.
credentialAwardedBy
Indicates that a particular credential is granted or conferred by a specific awarding organization or authority.
-
B.
hasCredential
Indicates that an entity possesses or has been granted a specific credential, qualification, or certification.
-
C.
credentialAwarded
chosen
Indicates that a particular credential has been granted or conferred to an entity as a result of meeting specified requirements.
-
D.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
E.
hasRewardStatus
Indicates that an entity possesses a particular reward-related condition, level, or eligibility status within a reward system.
- 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_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 7:45 p.m.