Triple
T2858245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Anne's College, Oxford |
E63254
|
entity |
| Predicate | hasDiverseStudentBody |
P43699
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [St Anne's College, Oxford, hasDiverseStudentBody, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiverseStudentBody Context triple: [St Anne's College, Oxford, hasDiverseStudentBody, true]
-
A.
hasInternationalStudents
Indicates that an institution or organization includes students who come from countries other than the one in which it is located.
-
B.
attitudeTowardDiversity
Indicates a stance, feeling, or evaluation that an entity holds regarding diversity or diverse groups.
-
C.
hasApproximateStudents
Indicates that an entity is associated with an estimated or approximate number of students, rather than an exact count.
-
D.
servesStudentPopulation
Indicates that an entity provides services, resources, or support to a defined group of students.
-
E.
hasCoeducation
Indicates that an educational institution includes both male and female students together in its instructional programs.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf89d3b4819086936f26d8683a2a |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdee94c2081908e5075e87e70780a |
completed | March 7, 2026, 8:16 a.m. |
Created at: March 6, 2026, 10:02 p.m.