Triple
T8008988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 857 |
E186435
|
entity |
| Predicate | specifiesProtocol |
P12564
|
FINISHED |
| Object | Telnet |
E5624
|
NE 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: Telnet | Statement: [RFC 857, specifiesProtocol, Telnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telnet Context triple: [RFC 857, specifiesProtocol, Telnet]
-
A.
Telnet
chosen
Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
-
B.
Putty
Putty is a small rural locality in New South Wales, Australia, known for its forested landscapes and low-density population.
-
C.
PuTTY
PuTTY is a widely used free and open-source terminal emulator and network client for Windows and other platforms, supporting protocols like SSH, Telnet, and serial connections.
-
D.
Terminal
Terminal is the built-in command-line interface application for macOS that allows users to interact with the operating system using text-based commands.
-
E.
Terminal
Terminal is a 2018 neo-noir thriller film starring Margot Robbie, known for its stylized visuals and dark, twisting narrative.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d6f76408190a1312369521a187a |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc569e90d48190a1bf1495496017f8 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:19 p.m.