Triple
T6056448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linacre College, Oxford |
E134922
|
entity |
| Predicate | studentComposition |
P68005
|
FINISHED |
| Object | primarily international 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: primarily international students | Statement: [Linacre College, Oxford, studentComposition, primarily international students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentComposition Context triple: [Linacre College, Oxford, studentComposition, primarily international students]
-
A.
studentSection
Indicates a relationship where a student is enrolled in or associated with a particular course section.
-
B.
studentsPerformAt
Indicates that students carry out or present a performance, activity, or task at a particular event, venue, or context.
-
C.
studentsWing
Indicates a relationship where a particular wing, section, or area is designated for or associated with students.
-
D.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
E.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570bf01c8190a8b2c25b7805d403 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:09 p.m.