Triple
T2108350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Network Time Protocol |
E42445
|
entity |
| Predicate | messageMode |
P30779
|
FINISHED |
| Object | client-server |
—
|
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: client-server | Statement: [Network Time Protocol, messageMode, client-server]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageMode Context triple: [Network Time Protocol, messageMode, client-server]
-
A.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
B.
intendedMessage
Indicates that one entity is the message or content that another entity aims or plans to communicate.
-
C.
messageHandling
Indicates how messages are received, processed, and responded to within a communication or messaging system.
-
D.
communicationModel
chosen
Indicates the type or framework of communication used or assumed in the relationship between entities.
-
E.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbae03f308190841f5a419bb821f6 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.