Triple
T1724361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpine Linux |
E37463
|
entity |
| Predicate | usesCStandardLibrary |
P19955
|
FINISHED |
| Object | musl |
—
|
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: musl | Statement: [Alpine Linux, usesCStandardLibrary, musl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCStandardLibrary Context triple: [Alpine Linux, usesCStandardLibrary, musl]
-
A.
usesStandard
Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
-
B.
usesStandardType
Indicates that one entity employs or relies on a predefined, commonly accepted standard type defined elsewhere.
-
C.
includesStandard
Indicates that one entity contains, incorporates, or makes use of a particular standard as part of its definition, implementation, or specification.
-
D.
hasSoftwareStandard
Indicates that an entity conforms to, implements, or is governed by a specified software-related standard.
-
E.
hasStandardImplementation
chosen
Indicates that an entity has a defined, commonly accepted implementation that follows an established standard or specification.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.