Triple
T26991727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ConcreteHandler |
E679875
|
entity |
| Predicate | relatedPattern |
P199207
|
FINISHED |
| Object | Decorator 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: Decorator pattern | Statement: [ConcreteHandler, relatedPattern, Decorator pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedPattern Context triple: [ConcreteHandler, relatedPattern, Decorator pattern]
-
A.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
B.
relatedMatchType
Indicates that two entities are connected through a specified type or category of relationship that defines how they are considered related or matched.
-
C.
relatedRule
Indicates that one rule is connected or associated with another rule, typically through some logical, structural, or referential relationship.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
relatedIntermediate
Indicates an indirect or intermediate relationship between two entities, typically via one or more other entities or steps rather than a direct connection.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
| PDg | Predicate description generation | batch_69ff263632608190a99beb73608066d8 |
completed | May 9, 2026, 12:19 p.m. |
Created at: April 27, 2026, 6:52 a.m.