Triple
T28629883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech Wikibooks |
E724612
|
entity |
| Predicate | copyrightModel |
P165482
|
FINISHED |
| Object | open-content |
—
|
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: open-content | Statement: [Czech Wikibooks, copyrightModel, open-content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copyrightModel Context triple: [Czech Wikibooks, copyrightModel, open-content]
-
A.
copyrightStatus
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
B.
copyrightCategory
Indicates the classification of an item according to its copyright status or type of copyright protection.
-
C.
copyrightOffice
Indicates that an entity is associated with, registered at, or handled by a copyright office or authority responsible for managing copyright matters.
-
D.
copyrightHolderUniverse
Indicates that one entity is the legal copyright holder for works within a specified universe or fictional setting.
-
E.
rightsManagement
Indicates the management, control, and enforcement of usage rights or permissions associated with an entity or resource.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f659355a208190be2609ffc7a9c427 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 4:37 a.m.