Triple
T3167434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSCAR |
E66244
|
entity |
| Predicate | messageRouting |
P10739
|
FINISHED |
| Object | client-server |
—
|
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: client-server | Statement: [OSCAR, messageRouting, client-server]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageRouting Context triple: [OSCAR, messageRouting, client-server]
-
A.
messageHandling
Indicates how messages are received, processed, and responded to within a communication or messaging system.
-
B.
parallelRoute
Indicates that one route runs alongside and in the same general direction as another route without intersecting it.
-
C.
intendedMessage
Indicates that one entity is the message or content that another entity aims or plans to communicate.
-
D.
routeTargeted
Indicates that a route is specifically directed toward or intended to reach a particular target entity or destination.
-
E.
deliveryMode
chosen
Indicates the method or channel through which something (such as a product, service, or information) is delivered or provided.
- F. None of above.
Provenance (3 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6457acc8190b2b9acbd1cfcdb91 |
completed | March 8, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.