Triple

T9945821
Position Surface form Disambiguated ID Type / Status
Subject FAT table E195200 entity
Predicate usedBy P260 FINISHED
Object exFAT E40785 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: exFAT | Statement: [FAT table, usedBy, exFAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: exFAT
Context triple: [FAT table, usedBy, exFAT]
  • A. exFAT chosen
    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.
  • B. 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.
  • C. 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.
  • D. FAT16
    FAT16 is an older 16-bit File Allocation Table file system widely used on early DOS and Windows systems, known for its simplicity and limitations in maximum partition and file sizes.
  • E. 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.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb655fba0819084a1e757b68c25d4 completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d5c6fdc81909b44d0b321201222 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:45 p.m.