Triple
T5923796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pub.dev |
E131756
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | Flutter team |
E131750
|
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: Flutter team | Statement: [pub.dev, operatedBy, Flutter team]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flutter team Context triple: [pub.dev, operatedBy, Flutter team]
-
A.
Angular Team at Google
The Angular Team at Google is the core group of engineers and designers responsible for developing, evolving, and supporting the Angular web application framework.
-
B.
Flutter
chosen
Flutter is an open-source UI toolkit by Google for building natively compiled, cross-platform applications from a single Dart codebase.
-
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.
Microsoft TypeScript team
The Microsoft TypeScript team is the group at Microsoft responsible for designing, developing, and maintaining the TypeScript programming language and its ecosystem.
-
E.
Habana Labs
Habana Labs is an Israeli-based company specializing in artificial intelligence accelerators and deep learning processors for data centers.
- 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.