Triple
T26410224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldwell County Public Library system |
E663938
|
entity |
| Predicate | offersDigitalResourceType |
P16209
|
FINISHED |
| Object | e-books |
—
|
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: e-books | Statement: [Caldwell County Public Library system, offersDigitalResourceType, e-books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersDigitalResourceType Context triple: [Caldwell County Public Library system, offersDigitalResourceType, e-books]
-
A.
offersDigitalBorrowingThrough
Indicates that one entity provides access to borrow digital items or content via another entity or platform.
-
B.
offersContentType
chosen
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
C.
hasOnlineResourceType
Indicates that an entity’s associated online resource belongs to a specific type or category (e.g., webpage, dataset, video).
-
D.
hasDigitalForm
Indicates that something exists or is available in a digital or electronic format.
-
E.
hasPopularDigitalVersionOn
Indicates that an entity has a widely used or well-known digital version available on a specified platform or medium.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 26, 2026, 11:37 p.m.