Triple

T1832310
Position Surface form Disambiguated ID Type / Status
Subject exFAT E40785 entity
Predicate comparedTo P278 FINISHED
Object NTFS E190925 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: NTFS | Statement: [exFAT, comparedTo, NTFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTFS
Context triple: [exFAT, comparedTo, NTFS]
  • A. NTFS chosen
    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.
  • B. ReFS
    ReFS (Resilient File System) is a Microsoft file system designed to improve data integrity, availability, and scalability over the older NTFS format.
  • C. FAT32
    FAT32 is a widely used 32-bit file system format developed by Microsoft, commonly employed on older Windows systems and removable storage devices for broad compatibility.
  • D. 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.
  • E. NTFS (via driver)
    NTFS (via driver) refers to support in Linux for reading and writing Microsoft’s NTFS file system through a dedicated kernel or userspace driver.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb024287c8190b68aa070e556a381 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b4b4f08190a0e5ad50de5c0ba8 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.