Triple
T11656854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joltid |
E277030
|
entity |
| Predicate | providedLicensingFor |
P12718
|
FINISHED |
| Object | Skype core P2P technology |
—
|
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: Skype core P2P technology | Statement: [Joltid, providedLicensingFor, Skype core P2P technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providedLicensingFor Context triple: [Joltid, providedLicensingFor, Skype core P2P technology]
-
A.
hasLicensing
Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
-
B.
licenseFor
chosen
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.
-
C.
licensingComponent
Indicates that one entity serves as a licensing-related component or module within the context or operation of another entity.
-
D.
supportsLicense
Indicates that one entity is compatible with, enables, or is configured to work under a specified license.
-
E.
licensingBasisIncludes
Indicates that one licensing basis incorporates or contains another licensing basis as part of its governing conditions or requirements.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.