Triple
T8284350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RT-Thread |
E193753
|
entity |
| Predicate | hasNetworkingStack |
P31923
|
FINISHED |
| Object | lwIP (optional) |
—
|
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: lwIP (optional) | Statement: [RT-Thread, hasNetworkingStack, lwIP (optional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetworkingStack Context triple: [RT-Thread, hasNetworkingStack, lwIP (optional)]
-
A.
hasNetworkSize
Indicates the total number of nodes, members, or connections that make up a given network.
-
B.
supportsNetworkingModel
chosen
Indicates that one entity provides compatibility with, or implementation of, a specified networking model for another entity.
-
C.
hasPrimaryNetwork
Indicates that an entity is associated with or connected to its main or most important network among potentially multiple networks.
-
D.
hasGlobalNetworkType
Indicates that an entity is associated with a specific type or category of global network.
-
E.
networkType
Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad0535081908bb234cfc0e32b32 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.