Triple
T12247254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Illinois/NCSA Open Source License |
E291880
|
entity |
| Predicate | hasNoAdvertisingClause |
P103709
|
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, hasNoAdvertisingClause, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoAdvertisingClause Context triple: [University of Illinois/NCSA Open Source License, hasNoAdvertisingClause, true]
-
A.
hasWithdrawalClause
Indicates that an agreement or contract includes a provision specifying how a party may withdraw or terminate their participation.
-
B.
hasAdvertisingSlogan
Indicates that an entity uses or is associated with a particular advertising slogan as part of its promotional or branding activities.
-
C.
hasAdvertisingVisual
Indicates that an entity includes, is associated with, or uses a specific visual element or asset for advertising purposes.
-
D.
usesAdvertisingModel
Indicates that one entity employs or relies on another entity’s advertising-based business or revenue model.
-
E.
hasMarketingClaim
Indicates that an entity asserts or is associated with a specific marketing claim about a product, service, or brand.
- 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.