Triple
T346855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creative Commons License Chooser |
E6960
|
entity |
| Predicate | outputType |
P92
|
FINISHED |
| Object | recommended Creative Commons license |
—
|
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: recommended Creative Commons license | Statement: [Creative Commons License Chooser, outputType, recommended Creative Commons license]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputType Context triple: [Creative Commons License Chooser, outputType, recommended Creative Commons license]
-
A.
resultType
Indicates the type or category of outcome that is produced by a given process, action, or operation.
-
B.
hasOutputType
chosen
Indicates that an entity produces, returns, or yields a result of a specified type.
-
C.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
D.
compilationType
Indicates the specific method or mode by which something is compiled or assembled into a final form.
-
E.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.