Triple
T11653555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safe Links |
E276964
|
entity |
| Predicate | canBypass |
P12840
|
FINISHED |
| Object | specific URLs via allow lists |
—
|
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: specific URLs via allow lists | Statement: [Safe Links, canBypass, specific URLs via allow lists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBypass Context triple: [Safe Links, canBypass, specific URLs via allow lists]
-
A.
hasBypass
chosen
Indicates that one entity includes or is equipped with an alternative route or mechanism that circumvents or avoids another entity or process.
-
B.
bypassType
Indicates the specific kind or method of bypass used to circumvent or route around a normal process, path, or control.
-
C.
canPass
Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
-
D.
canBlock
Indicates that one entity has the ability or permission to prevent, obstruct, or stop the action or effect of another entity.
-
E.
canSuppress
Indicates that one entity has the ability or capacity to prevent, inhibit, or reduce the effect, activity, or expression of another entity or process.
- 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_69d8a2d01f9c8190849f252f22519550 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.