Triple
T815583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unix shell |
E17645
|
entity |
| Predicate | defaultStandardOutput |
P19948
|
FINISHED |
| Object | terminal |
—
|
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: terminal | Statement: [Unix shell, defaultStandardOutput, terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultStandardOutput Context triple: [Unix shell, defaultStandardOutput, terminal]
-
A.
isStandardIn
Indicates that something conforms to or is officially recognized as the accepted standard within a particular context or system.
-
B.
primaryOutput
Indicates that the related entity is the main or principal result, product, or outcome produced by another entity or process.
-
C.
defaultFileSystem
Indicates that a given file system is the primary or standard file system automatically used by default for file operations in a particular context.
-
D.
usesStandard
Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
-
E.
standardBefore
Indicates that one standard must be satisfied, applied, or occur earlier in sequence or priority than another standard.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab5157b08190b6c8f2fd455f261e |
completed | March 1, 2026, 9:10 p.m. |
| PD | Predicate disambiguation | batch_69a4aa756920819080ae82948974c876 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4781c88190ae36906251347cdc |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.