Triple
T26346066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W3C Software Notice and License |
E662779
|
entity |
| Predicate | hasNoPatentGrant |
P193701
|
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, hasNoPatentGrant, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoPatentGrant Context triple: [W3C Software Notice and License, hasNoPatentGrant, true]
-
A.
hasNoTrademarkGrant
Indicates that no legal rights or permissions have been granted to use a trademark in connection with the referenced entity or activity.
-
B.
hasPatentGrant
Indicates that a patent grant exists conferring legal protection or rights to an entity for a specific invention or intellectual property.
-
C.
containsPatentGrant
Indicates that one entity includes or encompasses a granted patent associated with another entity.
-
D.
grantedPatentAs
Indicates that a patent has been officially granted to an entity in a specified role or capacity.
-
E.
heldPatentOn
Indicates that one entity legally possessed the rights to a specific patent covering an invention, process, or design.
- 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_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: April 26, 2026, 10:42 p.m.