Triple
T145707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of MBAs |
E3324
|
entity |
| Predicate | hasAccreditationStandard |
P1587
|
FINISHED |
| Object | AMBA MBA accreditation |
—
|
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: AMBA MBA accreditation | Statement: [Association of MBAs, hasAccreditationStandard, AMBA MBA accreditation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccreditationStandard Context triple: [Association of MBAs, hasAccreditationStandard, AMBA MBA accreditation]
-
A.
accreditation
Indicates that an authoritative body has formally recognized an entity as meeting specified standards or requirements.
-
B.
hasStandardizationBody
Indicates that an entity is associated with, governed by, or defined by a specific standards-setting organization or authority.
-
C.
hasAwardingBodyType
Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
-
D.
usesStandard
chosen
Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
-
E.
standardizedBy
Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a257ea7eac8190884a53453a9e0dd6 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a25656a4fc81908a87678ac3d28f93 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.