Triple
T29406194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNOME Archive Manager |
E745781
|
entity |
| Predicate | usesBackendTools |
P174393
|
FINISHED |
| Object | p7zip |
—
|
NE NERFINISHED |
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: p7zip | Statement: [GNOME Archive Manager, usesBackendTools, p7zip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBackendTools Context triple: [GNOME Archive Manager, usesBackendTools, p7zip]
-
A.
hasBackend
Indicates that one entity functions as the backend or server-side component that supports or powers another entity.
-
B.
usesToolFor
Indicates that an agent employs a specific tool to carry out or facilitate a particular action or purpose.
-
C.
usedByTool
Indicates that a particular tool is employed or operated by a specified agent or entity.
-
D.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
-
E.
includesTooling
Indicates that one entity contains, provides, or comes bundled with specific tools or tooling capabilities related to another entity.
- F. None of above. chosen
Provenance (4 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 28, 2026, 2:54 p.m.