Triple
T12516931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dtach |
E299211
|
entity |
| Predicate | sessionTransport |
P105413
|
FINISHED |
| Object | Unix domain socket file |
—
|
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 domain socket file | Statement: [dtach, sessionTransport, Unix domain socket file]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionTransport Context triple: [dtach, sessionTransport, Unix domain socket file]
-
A.
sessionNotation
Indicates a notation or labeling that is specifically associated with a particular session or occurrence of an event.
-
B.
sessionContext
Indicates the contextual relationship in which a session occurs, including its surrounding conditions, parameters, or environment that shape or influence that session.
-
C.
sessionScope
Indicates that a variable, resource, or configuration is associated with and persists for the duration of a single user session.
-
D.
sessionOf
Indicates that one entity is a session that belongs to, occurs within, or is associated with another entity (such as an event, course, or meeting series).
-
E.
sessionType
Indicates the classification or category of a particular session based on its purpose, format, 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_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. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.