Triple
T30441821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伊丹市立図書館 |
E774465
|
entity |
| Predicate | 蔵書種別 |
P14119
|
FINISHED |
| Object | 図書 |
—
|
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: 図書 | Statement: [伊丹市立図書館, 蔵書種別, 図書]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 蔵書種別 Context triple: [伊丹市立図書館, 蔵書種別, 図書]
-
A.
bookDivision
Indicates that one entity is a distinct section, part, or subdivision within a larger book.
-
B.
libraryCollectionType
chosen
Indicates the specific category or type of collection that a library maintains or offers (e.g., reference, circulating, digital).
-
C.
bookCategory
Indicates the classification or genre category to which a given book belongs.
-
D.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
E.
libraryOfCongressClassification
Indicates that one entity is assigned a Library of Congress Classification code that organizes it within the Library of Congress subject-based cataloging system.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6869948e481908901dbda23952cc0 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:08 p.m.