Triple
T10922320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky Community and Technical College System |
E257978
|
entity |
| Predicate | offersCredentialType |
P78552
|
FINISHED |
| Object | diplomas |
—
|
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: diplomas | Statement: [Kentucky Community and Technical College System, offersCredentialType, diplomas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersCredentialType Context triple: [Kentucky Community and Technical College System, offersCredentialType, diplomas]
-
A.
credentialOffered
Indicates that one party presents or makes available a credential to another party for potential acceptance or use.
-
B.
offersQualificationType
chosen
Indicates that an entity provides or makes available a specific type or category of qualification.
-
C.
offersEnrollmentType
Indicates that an entity provides or makes available a specific type or category of enrollment option.
-
D.
offeringType
Indicates the category or nature of what is being offered in a transaction or interaction (e.g., product, service, or other type of offering).
-
E.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7708d1fb88190bb33b72d4330ce11 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:22 p.m.