Triple
T3244521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solaris |
E68039
|
entity |
| Predicate | feature |
P374
|
FINISHED |
| Object | ZFS compression |
E68042
|
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: ZFS compression | Statement: [Solaris, feature, ZFS compression]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZFS compression Context triple: [Solaris, feature, ZFS compression]
-
A.
ZFS file system
chosen
The ZFS file system is a combined file system and logical volume manager known for its advanced features like data integrity verification, snapshots, and efficient storage management, originally created for enterprise-grade reliability and scalability.
-
B.
gzip
gzip is a widely used GNU file compression utility that reduces file size using the DEFLATE algorithm, commonly producing .gz archives on Unix-like systems.
-
C.
Btrfs
Btrfs is a modern copy-on-write Linux file system designed for advanced features like snapshots, checksumming, and efficient storage management.
-
D.
bzip2
bzip2 is a free and open-source data compression program known for its high compression ratios using the Burrows–Wheeler algorithm.
-
E.
Compressor
Compressor is Apple's professional video and audio encoding and transcoding application used to create optimized media outputs for various formats and platforms.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1982448190b3d60c9e4471421f |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2775be7c88190ba60b191f1c51e19 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.