Triple
T7928213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSET |
E184120
|
entity |
| Predicate | sessionScope |
P79825
|
FINISHED |
| Object | affects only the current POP3 session |
—
|
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: affects only the current POP3 session | Statement: [RSET, sessionScope, affects only the current POP3 session]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionScope Context triple: [RSET, sessionScope, affects only the current POP3 session]
-
A.
sessionContext
Indicates the contextual relationship in which a session occurs, including its surrounding conditions, parameters, or environment that shape or influence that session.
-
B.
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).
-
C.
participantScope
Indicates the extent, range, or set of participants that are involved in or affected by a given relationship or action.
-
D.
sessionNotation
Indicates a notation or labeling that is specifically associated with a particular session or occurrence of an event.
-
E.
numberWithinSession
Indicates the ordinal position or index that something occupies within a given session.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ac9ac4c819082cd2190fc3ce5a2 |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:07 p.m.