Triple
T14388169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messages for Web |
E356775
|
entity |
| Predicate | sessionBehavior |
P114050
|
FINISHED |
| Object | can remember paired computers |
—
|
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: can remember paired computers | Statement: [Messages for Web, sessionBehavior, can remember paired computers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionBehavior Context triple: [Messages for Web, sessionBehavior, can remember paired computers]
-
A.
sessionTransport
Indicates a relationship where a session is carried or conveyed using a particular transport mechanism or protocol.
-
B.
sessionNotation
Indicates a notation or labeling that is specifically associated with a particular session or occurrence of an event.
-
C.
sessionContext
Indicates the contextual relationship in which a session occurs, including its surrounding conditions, parameters, or environment that shape or influence that session.
-
D.
sessionScope
Indicates that a variable, resource, or configuration is associated with and persists for the duration of a single user session.
-
E.
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).
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e08b6c08190bb4c929deab236a6 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:16 a.m.