Triple
T286833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linux |
E5903
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | POSIX |
E6170
|
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: POSIX | Statement: [Linux, supports, POSIX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: POSIX Context triple: [Linux, supports, POSIX]
-
A.
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.
-
B.
Linux
Linux is a widely used open-source Unix-like operating system kernel that powers servers, desktops, mobile devices, and embedded systems around the world.
-
C.
ANSI
chosen
ANSI is a private non-profit organization that oversees the development and coordination of voluntary consensus standards for products, services, processes, and systems in the United States.
-
D.
Modula-3
Modula-3 is a systems programming language designed as a safer, more modern successor to Modula-2, emphasizing strong typing, modularity, and support for concurrency and garbage collection.
-
E.
ISO 9660
ISO 9660 is an international standard file system format primarily used for optical disc media such as CD-ROMs to ensure cross-platform data compatibility.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2ddaa88190b08c40b5823f30a0 |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d078ad88190b4fce535c8ea9a80 |
completed | March 1, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.