Triple
T1104735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark State College |
E25460
|
entity |
| Predicate | hasEducationalFormat |
P7876
|
FINISHED |
| Object | on-campus instruction |
—
|
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: on-campus instruction | Statement: [Clark State College, hasEducationalFormat, on-campus instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalFormat Context triple: [Clark State College, hasEducationalFormat, on-campus instruction]
-
A.
hasEducationalAudience
Indicates that something is intended for or directed toward a specific educational audience or learner group.
-
B.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
C.
hasEducationalMaterial
Indicates that an entity provides, contains, or is associated with educational content or learning resources for another entity.
-
D.
offersEducationMode
chosen
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
-
E.
trainingFormat
Indicates the specific method or medium through which training is delivered or conducted.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e21f048190bf4b63dd2c7c7641 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.