Triple

T1718119
Position Surface form Disambiguated ID Type / Status
Subject ext2 E37332 entity
Predicate tool P12868 FINISHED
Object tune2fs
tune2fs is a Linux command-line utility used to adjust and optimize various parameters of ext2 and related filesystems.
 E193767 NE FINISHED

How this triple was built (4 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: tune2fs | Statement: [ext2, tool, tune2fs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: tune2fs
Context triple: [ext2, tool, tune2fs]
  • A. ext2
    ext2 is a widely used early Linux disk file system known for its simplicity, robustness, and lack of journaling.
  • 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. 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.
  • D. F2FS
    F2FS (Flash-Friendly File System) is a Linux file system optimized for NAND flash-based storage devices, designed to improve performance and lifespan on solid-state media.
  • E. GNU Parted
    GNU Parted is a free, open-source disk partitioning and resizing tool commonly used on Unix-like operating systems to manage hard drive partitions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: tune2fs
Triple: [ext2, tool, tune2fs]
Generated description
tune2fs is a Linux command-line utility used to adjust and optimize various parameters of ext2 and related filesystems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: tune2fs
Target entity description: tune2fs is a Linux command-line utility used to adjust and optimize various parameters of ext2 and related filesystems.
  • A. ext2
    ext2 is a widely used early Linux disk file system known for its simplicity, robustness, and lack of journaling.
  • 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. 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.
  • D. F2FS
    F2FS (Flash-Friendly File System) is a Linux file system optimized for NAND flash-based storage devices, designed to improve performance and lifespan on solid-state media.
  • E. GNU Parted
    GNU Parted is a free, open-source disk partitioning and resizing tool commonly used on Unix-like operating systems to manage hard drive partitions.
  • F. None of above. chosen

Provenance (5 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6337d8408190bdba8b50652d50ae completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae6940c81909c1ebdfb0cdef5fc completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957bd63c819099a508ca5c4102cc completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b18f9c8190a9c5ed80b5ed0195 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.