Triple

T270630
Position Surface form Disambiguated ID Type / Status
Subject Telnet E5624 entity
Predicate commonlyAvailableOn P1292 FINISHED
Object Linux E5903 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: Linux | Statement: [Telnet, commonlyAvailableOn, Linux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linux
Context triple: [Telnet, commonlyAvailableOn, Linux]
  • A. Linux chosen
    Linux is a widely used open-source Unix-like operating system kernel that powers servers, desktops, mobile devices, and embedded systems around the world.
  • B. Unix
    Unix is a powerful, multiuser, multitasking operating system originally developed in the 1970s that has profoundly influenced modern computing and inspired many derivative systems like Linux and macOS.
  • C. Fedora Linux
    Fedora Linux is a community-driven, cutting-edge Linux distribution sponsored by Red Hat, known for integrating the latest open-source technologies and serving as a foundation for other projects and operating systems.
  • D. Dracut
    Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
  • E. Windows
    Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a260cfb4cc81909771b2d496b84726 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f51aeac81908c6d398e650dc315 completed March 1, 2026, 12:58 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.