Triple

T17560146
Position Surface form Disambiguated ID Type / Status
Subject UFS E427676 entity
Predicate hasVariant P455 FINISHED
Object FFSv2 NE NERFINISHED

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: FFSv2 | Statement: [UFS, hasVariant, FFSv2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FFSv2
Context triple: [UFS, hasVariant, FFSv2]
  • A. FFSv2 chosen
    FFSv2 is the second-generation Fast File System used by NetBSD and other BSD-derived operating systems, offering improved performance, larger file and filesystem size support, and enhanced reliability over the original FFS.
  • B. Amazon FSx
    Amazon FSx is a fully managed file storage service from AWS that provides high-performance, scalable, and feature-rich file systems built on popular file system technologies.
  • C. FFS
    FFS is the abbreviation for the Football Federation Samoa, the governing body responsible for overseeing football activities in Samoa.
  • D. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • E. FFS
    FFS is a high-performance file system originally developed for BSD Unix that introduced improved disk layout and efficiency over earlier Unix file systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562573e48190a19f30fe915a5455 completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.