Triple

T1718234
Position Surface form Disambiguated ID Type / Status
Subject VFAT E37335 entity
Predicate extends P1244 FINISHED
Object FAT12 E195199 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: FAT12 | Statement: [VFAT, extends, FAT12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAT12
Context triple: [VFAT, extends, FAT12]
  • A. 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.
  • 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. File Allocation Table chosen
    The File Allocation Table (FAT) is a simple, widely used file system architecture that tracks the allocation and organization of files on disk storage, commonly employed in older and removable storage devices.
  • D. VFAT
    VFAT is a Linux-compatible variant of the FAT file system that adds support for long filenames and improved interoperability with Windows systems.
  • E. FAT tables
    FAT tables are data structures used by the File Allocation Table (FAT) file system to track the allocation and organization of files on a storage device.
  • 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_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_69ada0d3a1508190bf05aa45e9966c49 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.