Triple
T10426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creative Commons license |
E212
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | CC BY |
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: CC BY | Statement: [Creative Commons license, hasVariant, CC BY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CC BY Context triple: [Creative Commons license, hasVariant, CC BY]
-
A.
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.
-
B.
Cloud Gate
Cloud Gate is a famous stainless-steel public sculpture by artist Anish Kapoor, known for its reflective, bean-like shape and prominence in Chicago’s Millennium Park.
-
C.
Carnegie
Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
-
D.
N8 Research Partnership
N8 Research Partnership is a collaboration of eight research-intensive universities in Northern England focused on advancing world-class research, innovation, and economic growth.
-
E.
Geeks Bearing Gifts
Geeks Bearing Gifts is a book by computing pioneer Ted Nelson that reflects on the history, philosophy, and future of digital media and information technology.
- 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_69a243ca1c908190a50e20627e1b9a1e |
completed | Feb. 28, 2026, 1:24 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.