Triple
T17234343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrome Web Platform features |
E418320
|
entity |
| Predicate | includesAPI |
P126488
|
FINISHED |
| Object | Streams API |
E856192
|
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: Streams API | Statement: [Chrome Web Platform features, includesAPI, Streams API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Streams API Context triple: [Chrome Web Platform features, includesAPI, Streams API]
-
A.
Streams API
chosen
The Streams API is a web platform feature that enables efficient, programmable handling of streaming data in JavaScript, allowing developers to read, write, and transform data chunks incrementally.
-
B.
DataStream API
DataStream API is Apache Flink’s core streaming abstraction for building stateful, event-driven data processing applications over unbounded and bounded data streams.
-
C.
Kafka Streams
Kafka Streams is a Java library for building real-time, distributed stream processing applications on top of Apache Kafka.
-
D.
Reactive Streams
Reactive Streams is a standard for asynchronous stream processing with non-blocking back pressure, designed to enable interoperable reactive programming across different libraries and runtimes.
-
E.
Akka Streams
Akka Streams is a library for building and running asynchronous, backpressure-aware data processing pipelines on the JVM, based on the Reactive Streams specification.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfa0a408190880804d463305867 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01676382388190ab82bd10bd53f59e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.