Triple
T14606157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post Graduate Programme in Enterprise Management |
E342833
|
entity |
| Predicate | institutionTypeOfProvider |
P303
|
FINISHED |
| Object | public business school |
—
|
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: public business school | Statement: [Post Graduate Programme in Enterprise Management, institutionTypeOfProvider, public business school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionTypeOfProvider Context triple: [Post Graduate Programme in Enterprise Management, institutionTypeOfProvider, public business school]
-
A.
institutionTypeOfOrganizer
Indicates the type or category of institution to which the organizer of an event or activity belongs.
-
B.
typeOfInstitution
chosen
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
C.
institutionCategory
Indicates the classification or type of institution to which an entity belongs (e.g., university, hospital, bank).
-
D.
institutionSpecialization
Indicates that an institution focuses on, is dedicated to, or has expertise in a particular field, domain, or area of activity.
-
E.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44bf67c8190b4c48a7715f9443e |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.