Triple
T5688596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westminster University |
E125372
|
entity |
| Predicate | studentExperienceFeature |
P42298
|
FINISHED |
| Object | close faculty-student interaction |
—
|
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: close faculty-student interaction | Statement: [Westminster University, studentExperienceFeature, close faculty-student interaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentExperienceFeature Context triple: [Westminster University, studentExperienceFeature, close faculty-student interaction]
-
A.
featuresInstitution
Indicates that one entity includes, presents, or highlights an institution as a notable component or participant.
-
B.
campusLife
Indicates the overall experience, activities, and social environment associated with being part of a particular campus or educational institution.
-
C.
offersExperientialLearning
Indicates that one entity provides another with hands-on, practical learning opportunities gained through direct experience.
-
D.
experienceFeature
Indicates that an entity undergoes, encounters, or makes use of a particular feature.
-
E.
universityCharacteristic
chosen
Indicates that a specified characteristic, quality, or attribute is associated with a particular university.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.