Triple
T6483993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Altdorf |
E146462
|
entity |
| Predicate | fieldAssociatedWithAlumnus |
P71186
|
FINISHED |
| Object | philosophy |
—
|
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: philosophy | Statement: [University of Altdorf, fieldAssociatedWithAlumnus, philosophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldAssociatedWithAlumnus Context triple: [University of Altdorf, fieldAssociatedWithAlumnus, philosophy]
-
A.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
B.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
C.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
D.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
-
E.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
- F. None of above. chosen
Provenance (4 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6de31c81909dd99d105f5bb4c2 |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c06822f73081908e6bb9edecbe77a6 |
completed | March 22, 2026, 10:07 p.m. |
Created at: March 22, 2026, 4:52 p.m.