Triple

T8284983
Position Surface form Disambiguated ID Type / Status
Subject Rémy Card E193766 entity
Predicate influenced P9 FINISHED
Object ext3 file system E212349 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: ext3 file system | Statement: [Rémy Card, influenced, ext3 file system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ext3 file system
Context triple: [Rémy Card, influenced, ext3 file system]
  • A. ext3 chosen
    ext3 is a widely used Linux file system that extends the older ext2 format by adding journaling for improved reliability and faster recovery after crashes.
  • B. 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.
  • C. ext2
    ext2 is a widely used early Linux disk file system known for its simplicity, robustness, and lack of journaling.
  • D. ReiserFS
    ReiserFS is a journaling file system for Linux known for its efficient handling of small files and advanced tree-based storage structures.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd687e64a08190a45a1cf5f5c32291 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.