Triple
T33707389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Clare’s, Oxford |
E863632
|
entity |
| Predicate | typicalStudentNationalities |
P206646
|
FINISHED |
| Object | over 40 nationalities |
—
|
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: over 40 nationalities | Statement: [St Clare’s, Oxford, typicalStudentNationalities, over 40 nationalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStudentNationalities Context triple: [St Clare’s, Oxford, typicalStudentNationalities, over 40 nationalities]
-
A.
studentNationality
Indicates that a student has a particular nationality or country of citizenship.
-
B.
countryOfCitizenshipOfMostStudents
Indicates the country in which the largest number of the students hold citizenship.
-
C.
typicalStudentDemographic
Indicates the usual or most common demographic group (e.g., age, background, characteristics) that students of a given institution, program, or course belong to.
-
D.
countryOfOriginOfStudents
Indicates the country from which the students originate or have their primary national affiliation.
-
E.
typicalStudentBackground
Indicates that an entity has the usual or commonly expected background or profile for a student in a given context.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:43 a.m.