Triple
T3315804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Pavia |
E69678
|
entity |
| Predicate | hasCollegiateSystem |
P3391
|
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: [University of Pavia, hasCollegiateSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegiateSystem Context triple: [University of Pavia, hasCollegiateSystem, true]
-
A.
hasCollegeSystem
chosen
Indicates that an entity operates under, is organized by, or is associated with a particular college or higher-education institutional system.
-
B.
isCollegiateBodyOf
Indicates that one entity functions as the collegiate governing or decision-making body associated with another entity, such as an institution or organization.
-
C.
hasSportsInstitute
Indicates that an entity possesses, hosts, or is associated with a sports institute or sports training facility.
-
D.
hasAcademicSystem
Indicates that an entity is associated with or operates under a particular academic or educational system.
-
E.
hasCollegeCampus
Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb110b28081909b366623e3b0783d |
completed | March 8, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69ada4282730819092aa39c5f9269df0 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.