Triple
T3425799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle JDK |
E72226
|
entity |
| Predicate | previousLicenseModel |
P48641
|
FINISHED |
| Object | commercial license with subscription for production use |
—
|
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: commercial license with subscription for production use | Statement: [Oracle JDK, previousLicenseModel, commercial license with subscription for production use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousLicenseModel Context triple: [Oracle JDK, previousLicenseModel, commercial license with subscription for production use]
-
A.
licenseModel
Indicates the licensing scheme or framework that governs how something may be used, distributed, or accessed.
-
B.
previouslyLicensedAs
Indicates that an entity held a license under a different name or status at some earlier time.
-
C.
ownershipModel
Indicates the type or structure of ownership relationship that governs how control, rights, or shares are held between entities.
-
D.
licenseFamily
Indicates that one license belongs to, is derived from, or is categorized under a broader family or class of related licenses.
-
E.
engineLicenseBasedOn
Indicates that an engine’s license is determined or derived from another specified license or licensing basis.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9812a648190ac919e7291744b5a |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb00f4f8c81908f88daf71f6a9c29 |
completed | March 8, 2026, 5:21 p.m. |
Created at: March 8, 2026, 3:15 p.m.