Triple
T28005585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telnet Echo Option |
E707265
|
entity |
| Predicate | usesTelnetCommand |
P172367
|
FINISHED |
| Object | WILL |
—
|
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: WILL | Statement: [Telnet Echo Option, usesTelnetCommand, WILL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTelnetCommand Context triple: [Telnet Echo Option, usesTelnetCommand, WILL]
-
A.
supportsRemoteTerminal
Indicates that one entity provides or enables access to another entity via a remote terminal interface.
-
B.
supportsTerminalConnections
Indicates that one entity is capable of handling or enabling direct connections to terminal interfaces or endpoints.
-
C.
hasTTYNumber
Indicates that an entity is associated with a specific TTY (teletypewriter/telecommunications device for the deaf) phone number.
-
D.
TerminalEUsedFor
Indicates that a terminal E is used for a particular purpose, function, or activity.
-
E.
hasModem
Indicates that one entity possesses or is equipped with a modem device.
- F. None of above. chosen
Provenance (4 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_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 27, 2026, 8 p.m.