Triple
T26991988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ConcreteVisitor |
E679881
|
entity |
| Predicate | belongsToPattern |
P181636
|
FINISHED |
| Object | Visitor pattern |
—
|
NE NERFINISHED |
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: Visitor pattern | Statement: [ConcreteVisitor, belongsToPattern, Visitor pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPattern Context triple: [ConcreteVisitor, belongsToPattern, Visitor pattern]
-
A.
belongsToMode
Indicates that something is associated with, or is a member of, a particular mode or operational state.
-
B.
belongsToUN
Indicates that an entity is a member of, or formally affiliated with, the United Nations.
-
C.
belongsToStyle
Indicates that something is associated with, classified under, or part of a particular style or stylistic category.
-
D.
belongsToUnion
Indicates that an entity is a member of, or affiliated with, a specific union organization.
-
E.
belongsToCycle
Indicates that an entity is part of, or contained within, a specific cycle or cyclic structure.
- 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_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f7805c25dc8190b9977c561ba15975 |
completed | May 3, 2026, 5:05 p.m. |
Created at: April 27, 2026, 6:52 a.m.