Triple
T30504598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .TOS |
E776231
|
entity |
| Predicate | fileAssociation |
P169799
|
FINISHED |
| Object | TOS operating system kernel and utilities |
—
|
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: TOS operating system kernel and utilities | Statement: [.TOS, fileAssociation, TOS operating system kernel and utilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileAssociation Context triple: [.TOS, fileAssociation, TOS operating system kernel and utilities]
-
A.
fileAssociationMechanism
Indicates the method or process by which files are linked, associated, or bound to other entities (such as applications, formats, or systems).
-
B.
mediaTypeAssociation
Indicates an association between an entity and a specific type or category of media with which it is related or represented.
-
C.
typicalFileType
Indicates that one entity is the usual or commonly associated file type for the other entity.
-
D.
attachmentType
Indicates the specific kind or category of attachment that relates one entity to another.
-
E.
fileTypeFamily
Indicates that one file type belongs to, or is categorized under, a broader family or group of related file types.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687b1f5e481908b418423c77edbec |
completed | May 2, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:15 p.m.