Triple
T14864827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Széchényi Library |
E349589
|
entity |
| Predicate | hasLegalDepositSystem |
P13082
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [National Széchényi Library, hasLegalDepositSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalDepositSystem Context triple: [National Széchényi Library, hasLegalDepositSystem, yes]
-
A.
hasLegalDeposit
Indicates that an entity is required to deposit copies of its published material with a designated legal deposit institution or repository.
-
B.
hasLegalDepositRightFor
Indicates that an entity holds the legal right to receive, collect, or claim deposited materials (such as publications or documents) from another entity under legal deposit regulations.
-
C.
hasLegalDepositLibrariesNetwork
chosen
Indicates that an entity is associated with or participates in a network of libraries designated for legal deposit of published materials.
-
D.
hasDigitalLibrary
Indicates that an entity maintains or provides access to a collection of digital resources or publications.
-
E.
usesDRM
Indicates that one entity applies digital rights management (DRM) controls or technologies to another entity (such as content, software, or media).
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded574d0ec8190a6afed672ba6c2f9 |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.