Triple
T32062188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Licensing |
E818773
|
entity |
| Predicate | licensingModelFeature |
P168631
|
FINISHED |
| Object | aggregated multiple patent portfolios |
—
|
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: aggregated multiple patent portfolios | Statement: [Via Licensing, licensingModelFeature, aggregated multiple patent portfolios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licensingModelFeature Context triple: [Via Licensing, licensingModelFeature, aggregated multiple patent portfolios]
-
A.
usesLicensingModel
Indicates that one entity employs or applies a particular licensing model in its operations or offerings.
-
B.
licenseModel
Indicates the licensing scheme or framework that governs how something may be used, distributed, or accessed.
-
C.
licensingComponent
Indicates that one entity serves as a licensing-related component or module within the context or operation of another entity.
-
D.
licenseCharacteristic
chosen
Indicates that a particular property or feature is associated with a license, such as its terms, conditions, or usage constraints.
-
E.
hasLicensing
Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4f638908190957f64096c07535f |
completed | May 3, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:22 a.m.