Triple

T452207
Position Surface form Disambiguated ID Type / Status
Subject MS-DOS E7153 entity
Predicate fileSystem P1596 FINISHED
Object FAT16 E37469 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: FAT16 | Statement: [MS-DOS, fileSystem, FAT16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAT16
Context triple: [MS-DOS, fileSystem, FAT16]
  • A. FAT16 chosen
    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.
  • B. VFAT
    VFAT is a Linux-compatible variant of the FAT file system that adds support for long filenames and improved interoperability with Windows systems.
  • 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. ISO 9660
    ISO 9660 is an international standard file system format primarily used for optical disc media such as CD-ROMs to ensure cross-platform data compatibility.
  • E. ext2
    ext2 is a widely used early Linux disk file system known for its simplicity, robustness, and lack of journaling.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef854f7481909dc2207faf0327ec completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44802e858819081a0b5b98bb25bce completed March 1, 2026, 2:06 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.