Triple
T41834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Toronto |
E826
|
entity |
| Predicate | librarySystemSize |
P3393
|
FINISHED |
| Object | one of the largest academic library systems in North America |
—
|
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: one of the largest academic library systems in North America | Statement: [University of Toronto, librarySystemSize, one of the largest academic library systems in North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: librarySystemSize Context triple: [University of Toronto, librarySystemSize, one of the largest academic library systems in North America]
-
A.
librarySystem
Indicates a relationship where an organized framework or infrastructure manages, catalogs, and provides access to library resources and services.
-
B.
collectionSize
Indicates the total number of items contained within a specified collection.
-
C.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
D.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
-
E.
deweyDecimalClassification
Indicates the Dewey Decimal System classification assigned to an item, expressing its subject-based placement within a library’s organizational scheme.
- F. None of above. chosen
Provenance (4 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24db9527c8190816b6b25c88cb2f4 |
completed | Feb. 28, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69a24ab8a8908190beec6da6694dd4c9 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24db81c748190948560892f12c61b |
completed | Feb. 28, 2026, 2:06 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.