Triple
T23675020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Business |
E584847
|
entity |
| Predicate | supportsEducationIn |
P335
|
FINISHED |
| Object | 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: management | Statement: [College of Business, supportsEducationIn, management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsEducationIn Context triple: [College of Business, supportsEducationIn, management]
-
A.
hasEducationalSupportFrom
Indicates that one entity receives educational assistance, guidance, or resources from another entity.
-
B.
educates
chosen
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
C.
supportsInstitution
Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
-
D.
hasEducationServices
Indicates that one entity provides or offers educational services to another entity or within a particular context.
-
E.
hasEducationFund
Indicates that an entity possesses or is associated with a dedicated fund intended to support educational expenses or activities.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f2e35c8190ada29694e2cbed37 |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.