Triple
T3239207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imagination Library |
E67926
|
entity |
| Predicate | bookOwnershipModel |
P47546
|
FINISHED |
| Object | children keep the books they receive |
—
|
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: children keep the books they receive | Statement: [Imagination Library, bookOwnershipModel, children keep the books they receive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookOwnershipModel Context triple: [Imagination Library, bookOwnershipModel, children keep the books they receive]
-
A.
librarySystem
Indicates a relationship where an organized framework or infrastructure manages, catalogs, and provides access to library resources and services.
-
B.
hasBook
Indicates that an entity possesses, owns, or is associated with a particular book.
-
C.
usesBookAs
Indicates that one entity employs or treats a book as a particular tool, resource, or role in a given context.
-
D.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
E.
shelfMark
Indicates the classification or call number assigned to an item to specify its exact location on a shelf or within a storage system.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef4c0bc819095e4f84296fe7cb6 |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada698eeb48190a1f5762fdd3b7b63 |
completed | March 8, 2026, 4:40 p.m. |
Created at: March 8, 2026, 3:08 p.m.