Triple
T9371546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bournemouth University |
E225540
|
entity |
| Predicate | hasInternationalStudentsFrom |
P16422
|
FINISHED |
| Object | over 100 countries |
—
|
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 100 countries | Statement: [Bournemouth University, hasInternationalStudentsFrom, over 100 countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalStudentsFrom Context triple: [Bournemouth University, hasInternationalStudentsFrom, over 100 countries]
-
A.
hasInternationalStudents
chosen
Indicates that an institution or organization includes students who come from countries other than the one in which it is located.
-
B.
internationalStudentsShare
Indicates the proportion or percentage of a population or group that consists of international students.
-
C.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
D.
isAbroadCampusOf
Indicates that one campus is a geographically separate, foreign-location branch of a primary institution or main campus.
-
E.
hasStudyAbroad
Indicates that an entity has participated in or completed a study-abroad experience in another country.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5083cbb8819088e8cef26be1b380 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.