Triple
T14235881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Library of Pavia |
E352874
|
entity |
| Predicate | supportsInterlibraryLoan |
P35797
|
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 Library of Pavia, supportsInterlibraryLoan, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInterlibraryLoan Context triple: [University Library of Pavia, supportsInterlibraryLoan, true]
-
A.
offersInterlibraryLoan
chosen
Indicates that one library provides materials to users of another library through an interlibrary loan service.
-
B.
hasBorrowingSystem
Indicates that an entity possesses or employs a system or mechanism for borrowing items, resources, or services.
-
C.
servedByLibrary
Indicates that an entity receives services, resources, or support from a particular library.
-
D.
hasLibraryHoldings
Indicates that a library possesses or maintains specific items or collections within its holdings.
-
E.
supportsInstitution
Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.