Triple

T1718326
Position Surface form Disambiguated ID Type / Status
Subject NFS E37337 entity
Predicate version P3286 FINISHED
Object NFSv4.2 E37337 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: NFSv4.2 | Statement: [NFS, version, NFSv4.2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFSv4.2
Context triple: [NFS, version, NFSv4.2]
  • A. NFS chosen
    NFS (Network File System) is a distributed file system protocol that allows users to access files over a network as if they were on local storage.
  • B. ReiserFS
    ReiserFS is a journaling file system for Linux known for its efficient handling of small files and advanced tree-based storage structures.
  • C. HFS Plus
    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.
  • D. ZFS file system
    The ZFS file system is a combined file system and logical volume manager known for its advanced features like data integrity verification, snapshots, and efficient storage management, originally created for enterprise-grade reliability and scalability.
  • E. ext4
    ext4 is a widely used, journaling fourth-generation extended file system for Linux, designed for improved performance, reliability, and support for large volumes and files.
  • 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.