Triple
T26348039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xBase |
E662825
|
entity |
| Predicate | typicalDataFileExtension |
P180408
|
FINISHED |
| Object | .dbf |
—
|
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: .dbf | Statement: [xBase, typicalDataFileExtension, .dbf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDataFileExtension Context triple: [xBase, typicalDataFileExtension, .dbf]
-
A.
typicalFileFormat
Indicates the usual or standard file format typically associated with or used for a given entity or context.
-
B.
typicalFileType
Indicates that one entity is the usual or commonly associated file type for the other entity.
-
C.
targetedFileExtensions
chosen
Indicates that specific file types, identified by their extensions, are selected or designated as targets for an operation or action.
-
D.
filenameType
Indicates the type or category associated with a given filename (e.g., file format, role, or classification).
-
E.
containerFilenameExtension
Indicates that one item is a filename extension associated with a particular container format.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: April 26, 2026, 10:43 p.m.