Triple
T12515228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | a.out |
E299176
|
entity |
| Predicate | defaultOutputNameOf |
P66254
|
FINISHED |
| Object | Unix C compiler |
—
|
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: Unix C compiler | Statement: [a.out, defaultOutputNameOf, Unix C compiler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultOutputNameOf Context triple: [a.out, defaultOutputNameOf, Unix C compiler]
-
A.
defaultNameValue
chosen
Indicates that an entity is assigned a standard or fallback name value used when no specific name has been provided.
-
B.
defaultStandardOutput
Indicates that the specified output channel or format is used as the normal or fallback destination for results when no alternative is explicitly chosen.
-
C.
exportName
Indicates that one entity is exported under a specific name or label in relation to another context or system.
-
D.
outputOf
Indicates that one entity is the result or product generated by the processing, operation, or behavior of another entity.
-
E.
hasOutputType
Indicates that an entity produces, returns, or yields a result of a specified type.
- 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.