Triple
T6133697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEMS – The Global Alliance in Management Education |
E136780
|
entity |
| Predicate | programDiscipline |
P25609
|
FINISHED |
| Object | international management |
—
|
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: international management | Statement: [CEMS – The Global Alliance in Management Education, programDiscipline, international management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programDiscipline Context triple: [CEMS – The Global Alliance in Management Education, programDiscipline, international management]
-
A.
governingDiscipline
Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
-
B.
programDesignation
Indicates that an entity is assigned or identified by a specific program designation or label.
-
C.
featuredDiscipline
Indicates that one discipline is highlighted or given special prominence in relation to another entity or context.
-
D.
typeDiscipline
chosen
Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
-
E.
coursePar
Indicates that two entities (such as paths, lines, or trajectories) run alongside each other in the same general direction without intersecting.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c7f34d081909e589b201b22be21 |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:15 p.m.