Triple

T4279144
Position Surface form Disambiguated ID Type / Status
Subject FreeBSD E97108 entity
Predicate supportsFileSystem P203 FINISHED
Object UFS
UFS (Unix File System) is a long-standing, robust file system widely used in Unix-like operating systems, particularly BSD variants, for organizing and managing data on disk.
 E427676 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: UFS | Statement: [FreeBSD, supportsFileSystem, UFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UFS
Context triple: [FreeBSD, supportsFileSystem, UFS]
  • A. 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.
  • B. UHS
    UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
  • C. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • D. UnionFS
    UnionFS is a union file system that allows multiple directories or file systems to be transparently overlaid into a single coherent filesystem view, commonly used for layered container images.
  • E. 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.
  • 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: UFS
Triple: [FreeBSD, supportsFileSystem, UFS]
Generated description
UFS (Unix File System) is a long-standing, robust file system widely used in Unix-like operating systems, particularly BSD variants, for organizing and managing data on disk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UFS
Target entity description: UFS (Unix File System) is a long-standing, robust file system widely used in Unix-like operating systems, particularly BSD variants, for organizing and managing data on disk.
  • A. 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.
  • B. UHS
    UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
  • C. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • D. UnionFS
    UnionFS is a union file system that allows multiple directories or file systems to be transparently overlaid into a single coherent filesystem view, commonly used for layered container images.
  • E. 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.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350367da48190b735deef9b5d2d2e completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b708b481908c1683741f84ee55 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5bb84ed808190891f2a75296c11c6 completed March 14, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5bc392228819089fe64b55bb572cc completed March 14, 2026, 7:51 p.m.
Created at: March 12, 2026, 11:07 p.m.