Triple
T1103233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WebAssembly JavaScript Interface |
E25427
|
entity |
| Predicate | implementedIn |
P2539
|
FINISHED |
| Object | Safari |
E95180
|
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: Safari | Statement: [WebAssembly JavaScript Interface, implementedIn, Safari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safari Context triple: [WebAssembly JavaScript Interface, implementedIn, Safari]
-
A.
Safari
chosen
Safari is Apple’s native web browser for macOS and iOS, known for its speed, energy efficiency, and deep integration with the Apple ecosystem.
-
B.
Kinza Browser
Kinza Browser is a Japanese-developed, Chromium-based web browser that offers extensive customization options and user-centric features built on the Blink rendering engine.
-
C.
Mozilla Firefox
Mozilla Firefox is a free, open-source web browser developed by Mozilla, known for its strong privacy features, customizability, and support for open web standards.
-
D.
Colibri Browser
Colibri Browser is a minimalist web browser focused on speed and simplicity, built on the Blink rendering engine.
-
E.
Torch Browser
Torch Browser is a Chromium-based web browser known for its built-in media downloading, torrent management, and social media integration features.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c375848190baec4d534f489616 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4a402081908ee138257425a336 |
completed | March 7, 2026, 4:03 p.m. |
Created at: March 1, 2026, 7:43 p.m.