Triple
T34007680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motlow State Community College |
E872007
|
entity |
| Predicate | hasNoncreditOffering |
P6650
|
FINISHED |
| Object | workforce development courses |
—
|
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: workforce development courses | Statement: [Motlow State Community College, hasNoncreditOffering, workforce development courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoncreditOffering Context triple: [Motlow State Community College, hasNoncreditOffering, workforce development courses]
-
A.
isOfferedThrough
Indicates that something (such as a service, course, or product) is made available or provided via a particular channel, platform, or intermediary.
-
B.
mayBeOfferedFor
Indicates that one entity can potentially be provided or made available as an option to another entity.
-
C.
hasMultipleCourses
Indicates that an entity is associated with more than one course within the given context.
-
D.
hasOffering
Indicates that one entity provides, presents, or makes available an offering (such as a product, service, or item) to another entity or context.
-
E.
offersCourseType
chosen
Indicates that an entity provides or makes available a course of a specified type.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0248062e608190aae1afdae38d2e5a |
completed | May 11, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_6a02465a0d38819084c3a6813fb943fc |
completed | May 11, 2026, 9:12 p.m. |
Created at: May 1, 2026, 1:50 a.m.