Triple
T12516297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bzip2 |
E299198
|
entity |
| Predicate | standardToolOn |
P66728
|
FINISHED |
| Object | many Linux distributions |
—
|
LITERAL 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: many Linux distributions | Statement: [bzip2, standardToolOn, many Linux distributions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardToolOn Context triple: [bzip2, standardToolOn, many Linux distributions]
-
A.
typicalTools
Indicates that the related tools are commonly or characteristically used to perform the associated activity, task, or function.
-
B.
officialToolFor
chosen
Indicates that one entity is formally designated or authorized as the standard or primary tool to be used for another entity or purpose.
-
C.
toolIn
Indicates that one entity is a tool or instrument used in or associated with another entity or context.
-
D.
usesToolFor
Indicates that an agent employs a specific tool to carry out or facilitate a particular action or purpose.
-
E.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
- F. None of above.
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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.