Triple
T23989273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Search/Retrieve Web Service |
E605018
|
entity |
| Predicate | hasClientServerModel |
P92335
|
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: [Search/Retrieve Web Service, hasClientServerModel, client-server]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClientServerModel Context triple: [Search/Retrieve Web Service, hasClientServerModel, client-server]
-
A.
definesClientServerModel
chosen
Indicates that one entity specifies or establishes a client–server interaction pattern or architecture for another entity.
-
B.
hasClient
Indicates that an entity maintains a client relationship with another entity, typically as a provider of goods or services.
-
C.
hasServerComponent
Indicates that an entity includes, depends on, or is associated with a particular server-side component.
-
D.
hasServer
Indicates that one entity functions as or possesses a server that provides services or resources to another entity.
-
E.
hasNotableClientType
Indicates that an entity has clients belonging to a particular notable or distinguished category or type.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38a40588190887c2abc6565bbf4 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:37 p.m.