Triple

T2555555
Position Surface form Disambiguated ID Type / Status
Subject Docker E56722 entity
Predicate supportsTechnology P5090 FINISHED
Object Btrfs E37334 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: Btrfs | Statement: [Docker, supportsTechnology, Btrfs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Btrfs
Context triple: [Docker, supportsTechnology, Btrfs]
  • A. Btrfs chosen
    Btrfs is a modern copy-on-write Linux file system designed for advanced features like snapshots, checksumming, and efficient storage management.
  • B. 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.
  • 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. F2FS
    F2FS (Flash-Friendly File System) is a Linux file system optimized for NAND flash-based storage devices, designed to improve performance and lifespan on solid-state media.
  • E. ReFS
    ReFS (Resilient File System) is a Microsoft file system designed to improve data integrity, availability, and scalability over the older NTFS format.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30eec988190810346bb8b6cb489 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1ad6b4819097f1d18a12aa2b89 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.