Triple

T1907687
Position Surface form Disambiguated ID Type / Status
Subject ReiserFS E38038 entity
Predicate comparedTo P278 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: [ReiserFS, comparedTo, XFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XFS
Context triple: [ReiserFS, comparedTo, 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. ReiserFS
    ReiserFS is a journaling file system for Linux known for its efficient handling of small files and advanced tree-based storage structures.
  • C. 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.
  • 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. NTFS
    NTFS (New Technology File System) is a Microsoft-developed file system known for its support of large volumes, file permissions, encryption, and advanced reliability features used in modern Windows operating systems.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b44174819084fa06faf1930221 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeafb063481908a08f5570acc5b57 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:35 p.m.