Triple
T2316805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. John’s College, Annapolis |
E51082
|
entity |
| Predicate | emphasizesAssessmentType |
P750
|
FINISHED |
| Object | oral examinations |
—
|
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: oral examinations | Statement: [St. John’s College, Annapolis, emphasizesAssessmentType, oral examinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesAssessmentType Context triple: [St. John’s College, Annapolis, emphasizesAssessmentType, oral examinations]
-
A.
languageOfAssessment
Indicates that a specified language is used as the medium of assessment (e.g., for tests, evaluations, or examinations) for a given entity.
-
B.
assessedBy
Indicates that an entity has been evaluated, examined, or judged by another entity (typically an agent or authority).
-
C.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
D.
assessmentMethod
chosen
Indicates the method or procedure used to evaluate, measure, or judge something.
-
E.
typeOfSignificance
Indicates that one entity specifies the nature or category of importance, relevance, or significance that another entity possesses.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc58e88e481908733fdf79d3f8a15 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.