Triple
T18090108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Bern Faculty of Medicine |
E432940
|
entity |
| Predicate | countryMembership |
P113356
|
FINISHED |
| Object | Swiss higher education system |
—
|
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: Swiss higher education system | Statement: [University of Bern Faculty of Medicine, countryMembership, Swiss higher education system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryMembership Context triple: [University of Bern Faculty of Medicine, countryMembership, Swiss higher education system]
-
A.
countryMembershipType
Indicates the type or category of membership a country has within an organization, agreement, or grouping.
-
B.
countryAffiliation
chosen
Indicates that one entity is officially associated with, belongs to, or is under the jurisdiction of a particular country.
-
C.
countryMembers
Indicates that certain entities are members or constituent parts of a specified country.
-
D.
memberNation
Indicates that one entity is a nation that belongs to, or holds membership in, an international organization or group represented by the other entity.
-
E.
countryJoined
Indicates that a country became a member of, or formally entered into, a specific organization, union, alliance, or agreement.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd17ba98819085a15e8593d98259 |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.