Triple
T9002983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS X Mountain Lion |
E215078
|
entity |
| Predicate | includedApplication |
P1393
|
FINISHED |
| Object | Safari 6 |
E24288
|
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 6 | Statement: [OS X Mountain Lion, includedApplication, Safari 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safari 6 Context triple: [OS X Mountain Lion, includedApplication, Safari 6]
-
A.
Safari
"Safari" is a reggaeton song by Colombian artist J Balvin, known for its infectious rhythm and international popularity.
-
B.
Safari
"Safari" is an alternative rock song by American band The Breeders, known for its fuzzy guitars, dynamic shifts, and early-1990s indie sound.
-
C.
Safari
Safari is Apple’s native web browser for macOS and iOS, known for its speed, energy efficiency, and deep integration with the Apple ecosystem.
-
D.
Apple Safari
chosen
Apple Safari is Apple’s proprietary web browser known for its tight integration with macOS and iOS, emphasis on performance and energy efficiency, and strong privacy protections.
-
E.
Silk Browser
Silk Browser is Amazon's cloud-accelerated web browser designed primarily for use on Fire tablets and other Amazon devices.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6957bd5481908ce74f32f8d197de |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e0a28c81909b6d2c6cd80e24d4 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.