Triple
T26297032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobo Nia |
E661444
|
entity |
| Predicate | supportsOverDriveIntegration |
P41602
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kobo Nia, supportsOverDriveIntegration, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsOverDriveIntegration Context triple: [Kobo Nia, supportsOverDriveIntegration, yes]
-
A.
offersDigitalBorrowingThrough
chosen
Indicates that one entity provides access to borrow digital items or content via another entity or platform.
-
B.
supportsPhysicalMedia
Indicates that one entity provides the capability to use, read, or handle physical media formats (such as discs, tapes, or printed materials) associated with another entity.
-
C.
usesDRM
Indicates that one entity applies digital rights management (DRM) controls or technologies to another entity (such as content, software, or media).
-
D.
supportsDigitalDownloads
Indicates that one entity enables or allows the other entity to provide or access digital file downloads.
-
E.
hasCirculationFeature
Indicates that an entity possesses a specific feature related to movement or flow within a system, such as circulation paths, routes, or mechanisms.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: April 26, 2026, 10:13 p.m.