Triple
T7977462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AlmaLinux |
E185481
|
entity |
| Predicate | packageManager |
P5091
|
FINISHED |
| Object | DNF |
E184321
|
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: DNF | Statement: [AlmaLinux, packageManager, DNF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNF Context triple: [AlmaLinux, packageManager, DNF]
-
A.
DNF
chosen
DNF is a modern, dependency-resolving package manager primarily used on Red Hat–based Linux distributions to install, update, and remove software.
-
B.
Swordsman Online
Swordsman Online is a martial arts-themed massively multiplayer online role-playing game inspired by wuxia novels and set in ancient China.
-
C.
Dia Online
Dia Online is the digital platform of the Dia Art Foundation, providing online access to its contemporary art programs, archives, and educational resources.
-
D.
Ludian
Ludian is a Finnic language spoken by the Ludic people in northwestern Russia, considered a transitional variety between Karelian and Veps.
-
E.
Black Desert
Black Desert is a striking desert region in Egypt known for its dark volcanic rock formations and blackened sand dunes.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0cc09a081909cb92cd4864ef50d |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:14 p.m.