Triple
T5923629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dart2js |
E131752
|
entity |
| Predicate | runsOn |
P23
|
FINISHED |
| Object | Dart VM |
E131751
|
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: Dart VM | Statement: [dart2js, runsOn, Dart VM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dart VM Context triple: [dart2js, runsOn, Dart VM]
-
A.
Dart VM
chosen
Dart VM is the dedicated virtual machine that executes Dart code, providing just-in-time compilation, garbage collection, and runtime support for Dart applications.
-
B.
Dart Dev Compiler
Dart Dev Compiler is a modern Dart-to-JavaScript compiler designed to provide fast, incremental compilation and strong debugging support for Dart web development.
-
C.
Dart
Dart is a client-optimized, object-oriented programming language developed by Google, primarily used for building web and cross-platform mobile applications (notably with the Flutter framework).
-
D.
dart2js
dart2js is the Dart-to-JavaScript compiler that enables Dart code to run efficiently in web browsers by translating it into optimized JavaScript.
-
E.
V8
V8 is an eight-cylinder internal combustion engine configuration arranged in two banks of four cylinders forming a "V" shape, commonly used in high-performance and large vehicles.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03851189c819094524e8b5080545e |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0483e3481908e50f8b34b11a878 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.