Triple
T34615983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VIA University College |
E888863
|
entity |
| Predicate | offersExchangeProgrammes |
P70065
|
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: [VIA University College, offersExchangeProgrammes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersExchangeProgrammes Context triple: [VIA University College, offersExchangeProgrammes, true]
-
A.
offersInternationalPrograms
Indicates that an institution or organization provides programs or courses available to participants from other countries or across national borders.
-
B.
offersHonorsPrograms
Indicates that an institution provides specialized honors-level academic programs or tracks to eligible participants.
-
C.
offersStudyAbroad
chosen
Indicates that an institution or program provides opportunities for participants to study in a foreign country.
-
D.
offersTransferPrograms
Indicates that one entity provides formal transfer pathways or articulation programs enabling students to move their studies or credits to another institution.
-
E.
offersFellowshipPrograms
Indicates that an entity provides or makes available fellowship programs to individuals or other entities.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: May 1, 2026, 2:03 a.m.