Triple
T27213400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purdue University’s College of Business |
E684063
|
entity |
| Predicate | hasDisciplineIntegration |
P181407
|
FINISHED |
| Object | business and STEM |
—
|
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: business and STEM | Statement: [Purdue University’s College of Business, hasDisciplineIntegration, business and STEM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisciplineIntegration Context triple: [Purdue University’s College of Business, hasDisciplineIntegration, business and STEM]
-
A.
hasDisciplineSystem
Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
-
B.
hasDisciplineRole
Indicates that an entity holds a specific role or function within a particular discipline or field.
-
C.
hasDisciplineSections
Indicates that an entity is associated with one or more sections that belong to a particular discipline or field.
-
D.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
-
E.
hasDisplayDiscipline
Indicates that an entity is associated with a particular academic or professional discipline in which its content is displayed or categorized.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: April 27, 2026, 9:40 a.m.