Triple

T8724273
Position Surface form Disambiguated ID Type / Status
Subject Linux kernel E207089 entity
Predicate supportsFilesystem P44872 FINISHED
Object XFS E37333 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: XFS | Statement: [Linux kernel, supportsFilesystem, XFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XFS
Context triple: [Linux kernel, supportsFilesystem, XFS]
  • A. XFS chosen
    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.
  • B. VxFS
    VxFS (Veritas File System) is a high-performance, journaling file system developed by Veritas, widely used in enterprise UNIX environments for its scalability and reliability.
  • C. ReiserFS
    ReiserFS is a journaling file system for Linux known for its efficient handling of small files and advanced tree-based storage structures.
  • D. HPFS
    HPFS (High Performance File System) is an older file system developed by IBM and Microsoft for OS/2, designed to improve performance and reliability over FAT before later being superseded by NTFS.
  • E. exFAT
    exFAT is a Microsoft-developed file system optimized for flash drives and SD cards, designed to handle large files and volumes with broad cross-platform compatibility.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d1404948190bc45d14a1ddb1a7e completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2908fec08190a286a082060a47bc completed April 3, 2026, 2:42 a.m.
Created at: March 30, 2026, 6:36 p.m.