Triple
T18204945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longformer |
E435878
|
entity |
| Predicate | hasArchitectureProperty |
P6684
|
FINISHED |
| Object | combination of local and global attention |
—
|
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: combination of local and global attention | Statement: [Longformer, hasArchitectureProperty, combination of local and global attention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArchitectureProperty Context triple: [Longformer, hasArchitectureProperty, combination of local and global attention]
-
A.
hasArchitectureBy
Indicates that an entity’s architectural design was created or authored by a specified architect or architectural firm.
-
B.
hasArchType
Indicates that one entity possesses or is characterized by a particular architectural type or style.
-
C.
hasSubArchitecture
Indicates that one architectural component or structure is a subordinate or constituent part of a larger overarching architecture.
-
D.
hasArchitecturalFeature
chosen
Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
-
E.
usesArchitectureComponent
Indicates that one entity employs or incorporates a specific architecture component as part of its structure, design, or implementation.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.