Triple
T10328896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ByteLengthQueuingStrategy |
E242828
|
entity |
| Predicate | defaultSizeAlgorithm |
P93437
|
FINISHED |
| Object | returns chunk.byteLength if present |
—
|
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: returns chunk.byteLength if present | Statement: [ByteLengthQueuingStrategy, defaultSizeAlgorithm, returns chunk.byteLength if present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultSizeAlgorithm Context triple: [ByteLengthQueuingStrategy, defaultSizeAlgorithm, returns chunk.byteLength if present]
-
A.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
B.
usesAllocationBlockSize
Indicates that one entity operates with or depends on a specific allocation block size defined or provided by another entity.
-
C.
seedSize
Indicates the relative magnitude or dimensions of a seed in comparison to others or to a standard.
-
D.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
E.
minimumUnitSize
Indicates that there is a smallest allowable or defined size or quantity for the unit involved in the relationship.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:52 a.m.