Triple
T8060449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hwaci |
E188105
|
entity |
| Predicate | licensingModelForSQLite |
P50497
|
FINISHED |
| Object | public domain |
—
|
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: public domain | Statement: [Hwaci, licensingModelForSQLite, public domain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licensingModelForSQLite Context triple: [Hwaci, licensingModelForSQLite, public domain]
-
A.
licenseModel
Indicates the licensing scheme or framework that governs how something may be used, distributed, or accessed.
-
B.
usesLicensingModel
chosen
Indicates that one entity employs or applies a particular licensing model in its operations or offerings.
-
C.
licenseOfImplementation
Indicates that a particular software license applies to, governs, or is used for a specific implementation.
-
D.
previousLicenseModel
Indicates that an entity was governed by a different license model before the current one.
-
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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fcc61c0819085edc26e75c5f6d5 |
completed | March 31, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:26 p.m.