Triple
T34922856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VISOR |
E1007193
|
entity |
| Predicate | canBeInterfacedWith |
P143265
|
FINISHED |
| Object | computer systems |
—
|
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: computer systems | Statement: [VISOR, canBeInterfacedWith, computer systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeInterfacedWith Context triple: [VISOR, canBeInterfacedWith, computer systems]
-
A.
designedToInterfaceWith
Indicates that one entity has been intentionally created or configured to connect, interact, or work compatibly with another entity.
-
B.
canBeImplementedWith
Indicates that one entity is capable of being realized, executed, or fulfilled through the use or application of another entity.
-
C.
usesInterface
Indicates that one entity interacts with or operates another entity through a specified interface or set of interface methods.
-
D.
coversInterface
Indicates that one entity provides or implements the functionality defined by a specified interface.
-
E.
mayBeIntegratedWith
chosen
Indicates that one entity has the potential or capability to be combined or incorporated with another entity into a unified or interoperable whole.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 3, 2026, 4 p.m.