Triple
T27572742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLNS |
E696075
|
entity |
| Predicate | packetSwitchingType |
P70469
|
FINISHED |
| Object | datagram packet switching |
—
|
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: datagram packet switching | Statement: [CLNS, packetSwitchingType, datagram packet switching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packetSwitchingType Context triple: [CLNS, packetSwitchingType, datagram packet switching]
-
A.
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).
-
B.
packetType
chosen
Indicates the specific category or kind of data packet involved in a communication or transmission.
-
C.
tunnelType
Indicates the specific kind or classification of a tunnel associated with an entity.
-
D.
routeNetworkType
Indicates the specific kind of transportation or communication network to which a route belongs (e.g., road, rail, or air).
-
E.
interconnectionType
Indicates the specific kind or nature of relationship that links two or more entities together.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62fed98888190bdc01137b65acbb6 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:44 p.m.