Triple
T10328724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReadableStreamDefaultController |
E242824
|
entity |
| Predicate | hasExampleUsage |
P8562
|
FINISHED |
| Object | new ReadableStream({ start(controller) { controller.enqueue(...); } }) |
—
|
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: new ReadableStream({ start(controller) { controller.enqueue(...); } }) | Statement: [ReadableStreamDefaultController, hasExampleUsage, new ReadableStream({ start(controller) { controller.enqueue(...); } })]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExampleUsage
Context triple: [ReadableStreamDefaultController, hasExampleUsage, new ReadableStream({ start(controller) { controller.enqueue(...); } })]
-
A.
hasExample
Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
-
B.
usedAsExampleIn
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
-
C.
modeExamples
Indicates that specific example instances are provided to illustrate or clarify a particular mode or manner in which something operates or occurs.
-
D.
hasNonExample
Indicates that something is associated with an instance that explicitly does not satisfy or illustrate a given concept, rule, or category.
-
E.
toolUseExamples
chosen
Indicates that one entity provides example instances or demonstrations of how a particular tool is or can be used by another entity.
- 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_69d4d7cfd54c8190b6f88598339536d1 |
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.