Triple
T18265925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knuth license |
E437482
|
entity |
| Predicate | permitsCommercialUse |
P131099
|
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: [Knuth license, permitsCommercialUse, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permitsCommercialUse Context triple: [Knuth license, permitsCommercialUse, true]
-
A.
isNonCommercial
Indicates that the associated entity, use, or activity is not intended for or involved in commercial, profit-generating purposes.
-
B.
hasCommercialAppeal
Indicates that something possesses qualities likely to attract buyers or generate profitable market interest.
-
C.
hasCommercialFunction
Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
-
D.
usedForArtisticPurpose
Indicates that something is employed or applied with the intention of creating, expressing, or enhancing art or aesthetic experience.
-
E.
allowsPatentUse
Indicates that one entity grants another entity permission to use a patented invention under specified terms or 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7af85c81909859e7247738a535 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.