Triple
T10328488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReadableStream |
E242819
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | TransformStream |
E242821
|
NE 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: TransformStream | Statement: [ReadableStream, integratesWith, TransformStream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TransformStream Context triple: [ReadableStream, integratesWith, TransformStream]
-
A.
TransformStream
chosen
TransformStream is a web streams API interface that enables transforming data chunks passing through a readable–writable stream pair, such as for compression, encryption, or format conversion in streaming workflows.
-
B.
TransformStreamDefaultController
TransformStreamDefaultController is a web streams API interface that lets transform stream implementations enqueue, error, or terminate chunks during a streaming transformation.
-
C.
Transform
Transform is a TensorFlow Extended (TFX) component used for scalable data preprocessing and feature engineering in machine learning pipelines.
-
D.
Pipeline
Pipeline is a scikit-learn utility that chains multiple data processing and modeling steps into a single composite estimator for streamlined machine learning workflows.
-
E.
ReadableStream
ReadableStream is a web platform interface representing a source of streaming data that can be read incrementally, commonly used for handling network responses and other asynchronous data flows in JavaScript.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71db4a8dc81909adb2a044e74fd6b |
completed | April 9, 2026, 3:32 a.m. |
Created at: April 6, 2026, 11:52 a.m.