Triple
T1310481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robinson College, Cambridge |
E27977
|
entity |
| Predicate | acceptsStudents |
P27829
|
FINISHED |
| Object | undergraduate students |
—
|
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: undergraduate students | Statement: [Robinson College, Cambridge, acceptsStudents, undergraduate students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsStudents Context triple: [Robinson College, Cambridge, acceptsStudents, undergraduate students]
-
A.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
B.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
C.
hasInternationalStudents
Indicates that an institution or organization includes students who come from countries other than the one in which it is located.
-
D.
hasDayStudents
Indicates that an educational institution has students who attend during the day but do not reside on campus.
-
E.
undergraduateIntakeType
Indicates the specific category or mode by which undergraduate students are admitted or enrolled into an academic program or institution.
- F. None of above. chosen
Provenance (4 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c15361c8819094b8171e780b5560 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:51 p.m.