Triple
T2792529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU GRUB |
E61960
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Fedora |
E7681
|
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: Fedora | Statement: [GNU GRUB, usedBy, Fedora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fedora Context triple: [GNU GRUB, usedBy, Fedora]
-
A.
Fedora
Fedora is a 1978 drama film by Billy Wilder that explores the tragic mystique and hidden costs of Hollywood stardom.
-
B.
Fedora Linux
chosen
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.
-
C.
Rocky Linux
Rocky Linux is a community-driven, enterprise-grade Linux distribution designed to be a bug-for-bug compatible downstream rebuild of Red Hat Enterprise Linux.
-
D.
Fedora Silverblue
Fedora Silverblue is an immutable, desktop-focused variant of Fedora Linux that delivers a stable, container-friendly operating system image designed for reliability and easy rollbacks.
-
E.
Red Hat Enterprise Linux
Red Hat Enterprise Linux is a commercially supported, enterprise-grade Linux distribution widely used for servers, cloud deployments, and mission-critical applications.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd107ac81908eb1a6946834eee3 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc65ebe788190859012e930918b05 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.