Triple
T26346077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W3C Software Notice and License |
E662779
|
entity |
| Predicate | permitsDistributionOfBinaryOnly |
P162152
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [W3C Software Notice and License, permitsDistributionOfBinaryOnly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permitsDistributionOfBinaryOnly Context triple: [W3C Software Notice and License, permitsDistributionOfBinaryOnly, true]
-
A.
allowsDistribution
Indicates that one entity grants permission for another entity to distribute or disseminate something (e.g., content, products, or data).
-
B.
hasDistributionRights
Indicates that one entity is legally authorized to distribute another entity’s product, content, or service within specified terms or territories.
-
C.
allowsSublicensing
Indicates that one party grants another the right to further license the same rights to additional third parties.
-
D.
intendedDistribution
Indicates the planned or expected way in which something is to be distributed among recipients or locations.
-
E.
canBeLicensedUnder
Indicates that something is eligible or suitable to be granted a particular legal license or licensing terms.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 26, 2026, 10:42 p.m.