Triple
T33139526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Community College |
E848101
|
entity |
| Predicate | offersEnrollmentOption |
P56389
|
FINISHED |
| Object | full-time enrollment |
—
|
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: full-time enrollment | Statement: [Scott Community College, offersEnrollmentOption, full-time enrollment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersEnrollmentOption Context triple: [Scott Community College, offersEnrollmentOption, full-time enrollment]
-
A.
offersEnrollmentType
chosen
Indicates that an entity provides or makes available a specific type or category of enrollment option.
-
B.
offersChoiceTo
Indicates that one entity presents one or more options for selection to another entity.
-
C.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
D.
canEnroll
Indicates that one entity is permitted or eligible to enroll in, register for, or join another entity (such as a course, program, or service).
-
E.
offersModality
Indicates that one entity provides or supports a particular mode, method, or form in which something can be experienced, delivered, or performed.
- 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:27 a.m.