Triple
T12974918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netscape Server Application Programming Interface |
E321497
|
entity |
| Predicate | typicalFileType |
P107865
|
FINISHED |
| Object | .so shared libraries on Unix-like systems |
—
|
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: .so shared libraries on Unix-like systems | Statement: [Netscape Server Application Programming Interface, typicalFileType, .so shared libraries on Unix-like systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFileType Context triple: [Netscape Server Application Programming Interface, typicalFileType, .so shared libraries on Unix-like systems]
-
A.
typicalFileFormat
Indicates the usual or standard file format typically associated with or used for a given entity or context.
-
B.
typicalMIMEType
Indicates the standard or most commonly used MIME (media) type associated with a given resource or format.
-
C.
fileTypeCode
Indicates the specific classification or category code that identifies the type or format of a file.
-
D.
filenameType
Indicates the type or category associated with a given filename (e.g., file format, role, or classification).
-
E.
typicalPictureFormat
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97f1badac8190a59e60751f47b8d6 |
completed | April 10, 2026, 10:52 p.m. |
Created at: April 9, 2026, 8:37 p.m.