Triple

T2792513
Position Surface form Disambiguated ID Type / Status
Subject GNU GRUB E61960 entity
Predicate supportsFileSystem P203 FINISHED
Object ReiserFS E38038 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: ReiserFS | Statement: [GNU GRUB, supportsFileSystem, ReiserFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ReiserFS
Context triple: [GNU GRUB, supportsFileSystem, ReiserFS]
  • A. ReiserFS chosen
    ReiserFS is a journaling file system for Linux known for its efficient handling of small files and advanced tree-based storage structures.
  • B. Btrfs
    Btrfs is a modern copy-on-write Linux file system designed for advanced features like snapshots, checksumming, and efficient storage management.
  • C. HFS Plus
    HFS Plus is a proprietary journaling file system developed by Apple for use in macOS and earlier Macintosh operating systems, succeeding the original HFS to support larger files and volumes.
  • D. ext4
    ext4 is a widely used, journaling fourth-generation extended file system for Linux, designed for improved performance, reliability, and support for large volumes and files.
  • E. XFS
    XFS is a high-performance 64-bit journaling file system originally developed by SGI, widely used on Linux for handling large files and parallel I/O workloads.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddd107ac81908eb1a6946834eee3 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.