Triple

T1935081
Position Surface form Disambiguated ID Type / Status
Subject APFS E41425 entity
Predicate replaces P101 FINISHED
Object HFS+ E6431 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: HFS+ | Statement: [APFS, replaces, HFS+]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HFS+
Context triple: [APFS, replaces, HFS+]
  • A. HFS Plus chosen
    HFS Plus is a proprietary journaling file system developed by Apple for use in macOS and earlier Macintosh operating systems, succeeding the original HFS to support larger files and volumes.
  • B. Macintosh File System
    Macintosh File System is the original hierarchical disk file system used by early Apple Macintosh computers, designed for simplicity and tight integration with the classic Mac OS.
  • C. ReiserFS
    ReiserFS is a journaling file system for Linux known for its efficient handling of small files and advanced tree-based storage structures.
  • D. APFS
    APFS (Apple File System) is Apple's modern, high-performance file system designed for macOS and other Apple platforms, featuring strong encryption, space sharing, snapshots, and improved reliability over its predecessors.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29c7be08190986df157bf5d7c9e completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb52d04819097c3df9691551aaa completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.