Triple

T12516432
Position Surface form Disambiguated ID Type / Status
Subject POSIX tar E299201 entity
Predicate alsoKnownAs P39 FINISHED
Object POSIX ustar format E299200 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: POSIX ustar format | Statement: [POSIX tar, alsoKnownAs, POSIX ustar format]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: POSIX ustar format
Context triple: [POSIX tar, alsoKnownAs, POSIX ustar format]
  • A. POSIX ustar format chosen
    POSIX ustar format is a standardized tar archive format defined by POSIX to ensure portable storage of file metadata and contents across Unix-like systems.
  • B. POSIX tar
    POSIX tar is the standardized Unix archive file format specification that defines how tar utilities should create and interpret tar archives for portability across compliant systems.
  • C. Universal 2 binary format
    Universal 2 binary format is Apple’s macOS application packaging format that combines both Intel and Apple silicon (ARM) executables into a single app bundle for seamless cross-architecture support.
  • D. ISO 9660
    ISO 9660 is an international standard file system format primarily used for optical disc media such as CD-ROMs to ensure cross-platform data compatibility.
  • E. GNU Tar
    GNU Tar is a widely used free software utility for creating, maintaining, modifying, and extracting files from archive files, especially on Unix-like systems.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.