Triple
T11958984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valgrind Callgrind |
E284621
|
entity |
| Predicate | typicalFilenamePrefix |
P46092
|
FINISHED |
| Object | callgrind.out. |
—
|
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: callgrind.out. | Statement: [Valgrind Callgrind, typicalFilenamePrefix, callgrind.out.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFilenamePrefix Context triple: [Valgrind Callgrind, typicalFilenamePrefix, callgrind.out.]
-
A.
standardPrefix
Indicates that one entity serves as the conventional or officially recognized prefix used before another entity.
-
B.
typicalImportName
Indicates that one entity is the conventional or commonly used import name (alias) for another entity in code.
-
C.
namePrefix
chosen
Indicates that one entity is a prefix or leading part of another entity’s name.
-
D.
typicalFullName
Indicates that the object is the standard or commonly used full name associated with the subject.
-
E.
typicalEntryFile
Indicates that a given file is the standard or primary entry point typically used to start or access something (such as a program, project, or package).
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.