Triple
T10432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creative Commons license |
E212
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | CC0 |
E212
|
NE 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: CC0 | Statement: [Creative Commons license, hasVariant, CC0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CC0 Context triple: [Creative Commons license, hasVariant, CC0]
-
A.
Creative Commons
Creative Commons is a nonprofit organization that provides free, standardized copyright licenses to help creators legally share and reuse their work.
-
B.
Creative Commons license
chosen
A Creative Commons license is a standardized public copyright license that allows creators to grant the public permission to share, use, and sometimes modify their work under specified conditions.
-
C.
Newton Free Library
Newton Free Library is the main public library serving the city of Newton, Massachusetts, offering extensive collections, programs, and community services.
-
D.
universal digital library
The universal digital library is a conceptual global repository aiming to provide seamless, searchable access to all recorded human knowledge in digital form.
-
E.
.cl
.cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a23ff2f0508190806663ab2463cd41 |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248deaab88190952bad0998755baf |
completed | Feb. 28, 2026, 1:46 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.