Triple
T5834356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wi‑Fi CERTIFIED WPA2 |
E129431
|
entity |
| Predicate | remainsCompatibleWith |
P48645
|
FINISHED |
| Object | legacy Wi‑Fi devices |
—
|
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: legacy Wi‑Fi devices | Statement: [Wi‑Fi CERTIFIED WPA2, remainsCompatibleWith, legacy Wi‑Fi devices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remainsCompatibleWith Context triple: [Wi‑Fi CERTIFIED WPA2, remainsCompatibleWith, legacy Wi‑Fi devices]
-
A.
checksCompatibilityWith
Indicates that one entity evaluates whether it is compatible or can function harmoniously with another entity.
-
B.
requiresCompatibilityWith
Indicates that one entity can only function correctly or be used if it is compatible with another specified entity.
-
C.
isGenerallyCompatibleWith
chosen
Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
-
D.
backwardCompatibleWith
Indicates that one entity can correctly interpret, use, or function with data, interfaces, or behavior designed for an earlier version of another entity.
-
E.
hasSoftwareCompatibilityWith
Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.