Triple
T30930595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Library of Estonia |
E787982
|
entity |
| Predicate | hasLegalDepositObligation |
P14394
|
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 Library of Estonia, hasLegalDepositObligation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalDepositObligation Context triple: [National Library of Estonia, hasLegalDepositObligation, yes]
-
A.
hasLegalDeposit
chosen
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.
hasLegalDepositStatus
Indicates that an item or entity holds a particular legal deposit status, specifying its obligations or rights under legal deposit regulations.
-
D.
hasLegalDepositLibrariesNetwork
Indicates that an entity is associated with or participates in a network of libraries designated for legal deposit of published materials.
-
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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 29, 2026, 8:52 p.m.