Triple
T10328593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TransformStream |
E242821
|
entity |
| Predicate | allowsChunkSplitting |
P60772
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [TransformStream, allowsChunkSplitting, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsChunkSplitting Context triple: [TransformStream, allowsChunkSplitting, true]
-
A.
canSplit
chosen
Indicates that an entity has the ability or is allowed to divide something into two or more parts.
-
B.
hasSplit
Indicates that an entity has undergone a division into two or more distinct parts, groups, or components.
-
C.
canBeFragmented
Indicates that something is capable of being broken, divided, or split into smaller parts or fragments.
-
D.
allowsSpecializationIn
Indicates that one entity grants permission or provides the option for another entity to pursue a specific specialization within it.
-
E.
supportsMultiblockAllocation
Indicates that an entity can handle allocating or managing multiple blocks of resources or memory in a single operation.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cf21e08190bf605daeea0d9dcf |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:52 a.m.