Triple
T22876629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SeaMonkey Council |
E567342
|
entity |
| Predicate | governsLicense |
P107527
|
FINISHED |
| Object | SeaMonkey open-source licensing |
—
|
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: SeaMonkey open-source licensing | Statement: [SeaMonkey Council, governsLicense, SeaMonkey open-source licensing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsLicense Context triple: [SeaMonkey Council, governsLicense, SeaMonkey open-source licensing]
-
A.
legalLicenseIn
Indicates that an entity holds a valid legal license or authorization to operate, practice, or conduct a specified activity within a particular jurisdiction or region.
-
B.
oftenLicensedUnder
Indicates that an entity is frequently or commonly granted rights or permissions under a specified license.
-
C.
licenseFocus
Indicates that a license specifically targets, applies to, or is primarily concerned with a particular subject, activity, or scope.
-
D.
basedOnLicense
chosen
Indicates that one entity is derived from, uses, or is governed by the terms of another entity’s license.
-
E.
licenseStewardship
Indicates that one entity is responsible for managing, overseeing, or administering a license on behalf of another 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f58a7308190b710bdf013e2e114 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:39 p.m.