Triple
T12761718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Finance |
E305010
|
entity |
| Predicate | differenceFromMBA |
P106766
|
FINISHED |
| Object | more specialized in finance |
—
|
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: more specialized in finance | Statement: [Master of Finance, differenceFromMBA, more specialized in finance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromMBA Context triple: [Master of Finance, differenceFromMBA, more specialized in finance]
-
A.
isLessBusinessOrientedThan
Indicates that one entity has a weaker focus on business-related goals, practices, or priorities compared to another entity.
-
B.
differentiationFromEconomy
Indicates a relationship where something is distinguished or set apart from the economic sphere, principles, or considerations.
-
C.
businessSchool
Indicates that one entity is a business school attended by, affiliated with, or otherwise educationally related to the other entity.
-
D.
basedOnEducation
Indicates that one entity’s status, decision, or classification is determined or influenced by another entity’s educational background or qualifications.
-
E.
typicalDegreeLevels
Indicates the usual or commonly expected academic degree levels associated with a given entity or context.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.