Triple
T33028094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XEP-0060: Publish-Subscribe |
E845094
|
entity |
| Predicate | definesPattern |
P92207
|
FINISHED |
| Object | publish-subscribe messaging pattern |
—
|
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: publish-subscribe messaging pattern | Statement: [XEP-0060: Publish-Subscribe, definesPattern, publish-subscribe messaging pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesPattern Context triple: [XEP-0060: Publish-Subscribe, definesPattern, publish-subscribe messaging pattern]
-
A.
definesMessagePattern
chosen
Indicates that one entity specifies or establishes the structural pattern or format that another message or set of messages should follow.
-
B.
definesNumberOfPatterns
Indicates that an entity specifies or determines how many distinct patterns are involved or allowed in a given context.
-
C.
termPattern
Indicates a relationship where one term follows or matches a specific structural or lexical pattern defined by another term or template.
-
D.
languagePattern
Indicates a recurring or structured way in which language is used, organized, or formed within a given context.
-
E.
flagPattern
Indicates that one entity has a flag whose design or pattern matches or represents the other entity.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 1, 2026, 1:23 a.m.