Triple
T12247255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Illinois/NCSA Open Source License |
E291880
|
entity |
| Predicate | hasNoTrademarkGrant |
P103710
|
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: [University of Illinois/NCSA Open Source License, hasNoTrademarkGrant, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoTrademarkGrant Context triple: [University of Illinois/NCSA Open Source License, hasNoTrademarkGrant, true]
-
A.
hasPatentGrant
Indicates that a patent grant exists conferring legal protection or rights to an entity for a specific invention or intellectual property.
-
B.
hasNotableBrandAssociation
Indicates that there is a significant, recognizable, or influential brand linked or connected to the subject entity.
-
C.
hasTradeName
Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
-
D.
trademark
Indicates that one entity legally owns and uses a distinctive sign, name, or symbol to identify and distinguish its goods or services from those of others.
-
E.
grantedPatentAs
Indicates that a patent has been officially granted to an entity in a specified role or capacity.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d91d3654208190a2e0487dfa1d54da |
completed | April 10, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:51 p.m.