Triple
T22446322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dart packages |
E554870
|
entity |
| Predicate | oftenLicensedUnder |
P148229
|
FINISHED |
| Object | open source licenses |
—
|
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: open source licenses | Statement: [Dart packages, oftenLicensedUnder, open source licenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenLicensedUnder Context triple: [Dart packages, oftenLicensedUnder, open source licenses]
-
A.
legalLicenseIn
Indicates that an entity holds a valid legal license or authorization to operate, practice, or conduct a specified activity within a particular jurisdiction or region.
-
B.
canBeLicensedUnder
Indicates that something is eligible or suitable to be granted a particular legal license or licensing terms.
-
C.
operatedUnderLicenseFrom
Indicates that one entity conducts its activities or uses certain rights with formal permission granted by another entity that holds the original authority or ownership.
-
D.
appliesLicensingLaw
Indicates that a particular licensing law is enforced upon or governs the subject entity in relation to the object entity or activity.
-
E.
licenseFor
Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4803908190990280ebd258cb03 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.