Triple
T5768482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Web Inspector developer tools |
E127269
|
entity |
| Predicate | includedIn |
P1393
|
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: [Web Inspector developer tools, includedIn, Safari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safari Context triple: [Web Inspector developer tools, includedIn, 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.
Safari
"Safari" is a reggaeton song by Colombian artist J Balvin, known for its infectious rhythm and international popularity.
-
C.
Safari
"Safari" is an alternative rock song by American band The Breeders, known for its fuzzy guitars, dynamic shifts, and early-1990s indie sound.
-
D.
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.
-
E.
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.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02974ae2c8190aee5ee61fc69ad79 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a16ea7108190adb0756dac94c42c |
completed | March 23, 2026, 2:11 a.m. |
Created at: March 22, 2026, 3:49 p.m.