Triple
T5923590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dart VM |
E131751
|
entity |
| Predicate | supportsGarbageCollectorType |
P16210
|
FINISHED |
| Object | generational garbage collection |
—
|
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: generational garbage collection | Statement: [Dart VM, supportsGarbageCollectorType, generational garbage collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsGarbageCollectorType Context triple: [Dart VM, supportsGarbageCollectorType, generational garbage collection]
-
A.
usesGarbageCollectorType
chosen
Indicates that one entity employs or is configured to employ a specific type of garbage collection mechanism or strategy associated with another entity.
-
B.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
C.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
D.
hasTypeOfSupport
Indicates that one entity provides or is associated with a particular kind or category of support in relation to another entity.
-
E.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.