Triple
T28005616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telnet Echo Option |
E707265
|
entity |
| Predicate | transportLayerDependency |
P84134
|
FINISHED |
| Object | TCP |
—
|
NE NERFINISHED |
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: TCP | Statement: [Telnet Echo Option, transportLayerDependency, TCP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportLayerDependency Context triple: [Telnet Echo Option, transportLayerDependency, TCP]
-
A.
transportLayerFor
Indicates that one entity functions as the transport-layer protocol or mechanism used to carry or deliver another entity’s data.
-
B.
transportProtocol
Indicates the communication protocol used to transport data between entities in a networked interaction.
-
C.
transportDependency
chosen
Indicates that one entity’s ability to be transported or to function in transport depends on another entity or transport resource.
-
D.
transportInterface
Indicates a relationship where one entity serves as the medium or mechanism through which another entity is transported or conveyed.
-
E.
networkLayerSupport
Indicates that one entity provides or is compatible with the network-layer functionality or protocols required by 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 27, 2026, 8 p.m.