Triple

T8806791
Position Surface form Disambiguated ID Type / Status
Subject Haiku E209551 entity
Predicate supportsFileSystem P203 FINISHED
Object ext2 E37332 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: ext2 | Statement: [Haiku, supportsFileSystem, ext2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ext2
Context triple: [Haiku, supportsFileSystem, ext2]
  • A. ext2 chosen
    ext2 is a widely used early Linux disk file system known for its simplicity, robustness, and lack of journaling.
  • 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. ext3
    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.
  • 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. FAT32
    FAT32 is a widely used 32-bit file system format developed by Microsoft, commonly employed on older Windows systems and removable storage devices for broad compatibility.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd1f1a08190a2e584f6b0495f5c completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f96bb448190b9316ad55d61662a completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:45 p.m.