Triple

T23313227
Position Surface form Disambiguated ID Type / Status
Subject LFS E590636 entity
Predicate fullName P16 FINISHED
Object Log-structured File System NE NERFINISHED

How this triple was built (3 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: Log-structured File System | Statement: [LFS, fullName, Log-structured File System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Log-structured File System
Context triple: [LFS, fullName, Log-structured File System]
  • A. Log-Structured Merge-Tree
    A Log-Structured Merge-Tree (LSM-tree) is a write-optimized data structure that organizes data in sequential logs and periodically merges them to provide efficient writes and good read performance for key-value storage systems.
  • B. Berkeley Fast File System
    Berkeley Fast File System is a pioneering Unix file system design that introduced key performance and reliability innovations such as larger block sizes, cylinder groups, and improved disk layout strategies.
  • C. Cedar file system
    Cedar file system is the distributed file system component of the Cedar research workstation environment developed at Xerox PARC to support networked personal computing.
  • D. Yama LSM
    Yama LSM is a Linux Security Module focused on strengthening process isolation and restricting ptrace and related debugging capabilities to harden the kernel against local attacks.
  • E. Journaled File System
    Journaled File System (JFS) is a high-performance journaling file system originally developed by IBM to provide reliable, scalable storage with fast crash recovery for enterprise and server environments.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Log-structured File System
Target entity description: Log-structured File System is a file system design that writes all data sequentially in a log-like structure to optimize write performance and crash recovery, particularly for systems with high write workloads.
  • A. Log-Structured Merge-Tree
    A Log-Structured Merge-Tree (LSM-tree) is a write-optimized data structure that organizes data in sequential logs and periodically merges them to provide efficient writes and good read performance for key-value storage systems.
  • B. Berkeley Fast File System
    Berkeley Fast File System is a pioneering Unix file system design that introduced key performance and reliability innovations such as larger block sizes, cylinder groups, and improved disk layout strategies.
  • C. Cedar file system
    Cedar file system is the distributed file system component of the Cedar research workstation environment developed at Xerox PARC to support networked personal computing.
  • D. Yama LSM
    Yama LSM is a Linux Security Module focused on strengthening process isolation and restricting ptrace and related debugging capabilities to harden the kernel against local attacks.
  • E. Journaled File System
    Journaled File System (JFS) is a high-performance journaling file system originally developed by IBM to provide reliable, scalable storage with fast crash recovery for enterprise and server environments.
  • F. None of above. chosen

Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972ca70481909e2415c65964210a completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:06 p.m.