Triple
T949628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesus College, Cambridge |
E20489
|
entity |
| Predicate | undergraduateAdmission |
P17959
|
FINISHED |
| Object | admits undergraduates |
—
|
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: admits undergraduates | Statement: [Jesus College, Cambridge, undergraduateAdmission, admits undergraduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergraduateAdmission Context triple: [Jesus College, Cambridge, undergraduateAdmission, admits undergraduates]
-
A.
undergraduateIntakeType
chosen
Indicates the specific category or mode by which undergraduate students are admitted or enrolled into an academic program or institution.
-
B.
college
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
C.
undergraduateEnrollment
Indicates the number of undergraduate students enrolled in an institution or program.
-
D.
UNAdmissionDate
Indicates the date on which an entity was officially admitted as a member of the United Nations.
-
E.
university
Indicates that an educational institution of higher learning is associated with or attended by a given 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3c191ac819099ebf3cb32f096d8 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29f05f481908814bd11f235e9d0 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.