Triple
T3244843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Ray thin client |
E68044
|
entity |
| Predicate | networkDependency |
P33694
|
FINISHED |
| Object | requires continuous network connection |
—
|
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: requires continuous network connection | Statement: [Sun Ray thin client, networkDependency, requires continuous network connection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkDependency Context triple: [Sun Ray thin client, networkDependency, requires continuous network connection]
-
A.
networkModel
Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
-
B.
powerDependsOn
Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
-
C.
hasDependency
Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
-
D.
networkRequirement
chosen
Indicates that one entity requires access to or use of another entity’s network resources or connectivity to function or be fulfilled.
-
E.
dependency
Indicates that one entity relies on, is conditioned by, or cannot function or exist properly without 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1982448190b3d60c9e4471421f |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.