Triple
T7613023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitchener Public Library |
E172288
|
entity |
| Predicate | hasDigitalCollection |
P4156
|
FINISHED |
| Object | OverDrive |
E661443
|
NE 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: OverDrive | Statement: [Kitchener Public Library, hasDigitalCollection, OverDrive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OverDrive Context triple: [Kitchener Public Library, hasDigitalCollection, OverDrive]
-
A.
OverDrive
chosen
OverDrive is a digital distribution platform that lets users borrow ebooks, audiobooks, and other media from public libraries and schools.
-
B.
Overdrive
Overdrive is an action-packed heist film centered on high-end car thieves, starring Scott Eastwood.
-
C.
Google Play Books
Google Play Books is a digital distribution service and e-book/audiobook reader platform from Google that lets users purchase, download, and read or listen to books across devices.
-
D.
Kobo eBookstore
Kobo eBookstore is an online digital bookstore offering a wide catalog of e-books and audiobooks for purchase and download, primarily for use with Kobo e-readers and apps.
-
E.
Kindle Cloud Reader
Kindle Cloud Reader is a web-based application by Amazon that lets users read and manage their Kindle ebooks directly in a browser without needing a dedicated device or app.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa23981c81908168ac0ac9add5d8 |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86868dce08190b31229ff2e06fe0c |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:55 p.m.