Triple
T37932714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quark, Inc. |
E946259
|
entity |
| Predicate | softwareLicenseType |
P8460
|
FINISHED |
| Object | proprietary |
—
|
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: proprietary | Statement: [Quark, Inc., softwareLicenseType, proprietary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareLicenseType Context triple: [Quark, Inc., softwareLicenseType, proprietary]
-
A.
licenseFamily
Indicates that one license belongs to, is derived from, or is categorized under a broader family or class of related licenses.
-
B.
licenseModel
chosen
Indicates the licensing scheme or framework that governs how something may be used, distributed, or accessed.
-
C.
licenseProgram
Indicates that an authority grants official permission for a program to operate or be used under specified legal or regulatory terms.
-
D.
licenseName
Indicates the specific name or title of the license under which an entity is provided or governed.
-
E.
licenseUsed
Indicates that a particular license has been applied to or is being utilized for a specific resource, activity, or entity.
- F. None of above.
Provenance (3 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.