Triple
T28507387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arch Build System |
E721394
|
entity |
| Predicate | usesScriptFormat |
P131049
|
FINISHED |
| Object | PKGBUILD |
—
|
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: PKGBUILD | Statement: [Arch Build System, usesScriptFormat, PKGBUILD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesScriptFormat Context triple: [Arch Build System, usesScriptFormat, PKGBUILD]
-
A.
usesScriptFor
Indicates that one entity employs or relies on a particular script or writing system for its representation, communication, or operation.
-
B.
usesScriptDerivedFrom
Indicates that one entity employs a writing system that is historically or structurally derived from the script used by another entity.
-
C.
usesScriptingLanguage
chosen
Indicates that an entity employs a scripting language to perform its operations, configuration, or automation tasks.
-
D.
hasScriptUsage
Indicates that one entity uses, employs, or is written in the script or writing system specified by another entity.
-
E.
containsScript
Indicates that one entity includes or embeds the script of another entity within it.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 28, 2026, 3:10 a.m.