Triple
T2765845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s Campus |
E61334
|
entity |
| Predicate | hostedAcademicProgramme |
P39879
|
FINISHED |
| Object | medicine (pre-clinical years) |
—
|
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: medicine (pre-clinical years) | Statement: [Queen’s Campus, hostedAcademicProgramme, medicine (pre-clinical years)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedAcademicProgramme Context triple: [Queen’s Campus, hostedAcademicProgramme, medicine (pre-clinical years)]
-
A.
hostedDiscipline
Indicates that an entity served as the host or venue for a particular discipline, event category, or field of competition.
-
B.
academicHost
chosen
Indicates that one academic entity serves as the host or organizing institution for another academic activity, event, or affiliation.
-
C.
hostCourseFor
Indicates that one entity organizes and provides the setting or platform for a course attended or used by another entity.
-
D.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
-
E.
hosted
Indicates that one entity organized and provided the venue or platform for an event, activity, or presence involving another entity.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.