Triple
T12620180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xargs |
E301356
|
entity |
| Predicate | implementation |
P1417
|
FINISHED |
| Object | GNU xargs |
E301356
|
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: GNU xargs | Statement: [xargs, implementation, GNU xargs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNU xargs Context triple: [xargs, implementation, GNU xargs]
-
A.
xargs
chosen
xargs is a Unix command-line utility that builds and executes command lines from standard input, enabling efficient batch processing of large lists of arguments.
-
B.
GNU Core Utilities
GNU Core Utilities is a collection of essential command-line tools for Unix-like operating systems, providing fundamental file, text, and shell utilities widely used in GNU/Linux systems.
-
C.
GNU Grep
GNU Grep is the GNU Project’s free, open-source implementation of the grep command-line utility used for fast text searching and pattern matching in files.
-
D.
Click command-line utility library
Click is a popular Python library for creating composable, user-friendly command-line interfaces with minimal boilerplate.
-
E.
Almquist shell
The Almquist shell (ash) is a lightweight, Bourne-compatible Unix shell known for its small size and suitability for use in system utilities and embedded environments.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c75c9c819092265ebc2b39f21d |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed507988190b9d46586f3c3584c |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:13 p.m.