Triple

T2792607
Position Surface form Disambiguated ID Type / Status
Subject GNU Tar E61962 entity
Predicate supportsCompression P203 FINISHED
Object gzip
gzip is a widely used GNU file compression utility that reduces file size using the DEFLATE algorithm, commonly producing .gz archives on Unix-like systems.
E299197 NE FINISHED

How this triple was built (5 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: gzip | Statement: [GNU Tar, supportsCompression, gzip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gzip
Context triple: [GNU Tar, supportsCompression, gzip]
  • A. Zip2
    Zip2 was an early online city guide and business directory software company from the late 1990s that provided web-based publishing tools for newspapers.
  • B. Compressor
    Compressor is Apple's professional video and audio encoding and transcoding application used to create optimized media outputs for various formats and platforms.
  • C. UPX
    UPX is an executable packer and compressor commonly used to reduce the size of binary programs.
  • D. LZA
    LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: gzip
Triple: [GNU Tar, supportsCompression, gzip]
Generated description
gzip is a widely used GNU file compression utility that reduces file size using the DEFLATE algorithm, commonly producing .gz archives on Unix-like systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: gzip
Target entity description: gzip is a widely used GNU file compression utility that reduces file size using the DEFLATE algorithm, commonly producing .gz archives on Unix-like systems.
  • A. Zip2
    Zip2 was an early online city guide and business directory software company from the late 1990s that provided web-based publishing tools for newspapers.
  • B. Compressor
    Compressor is Apple's professional video and audio encoding and transcoding application used to create optimized media outputs for various formats and platforms.
  • C. UPX
    UPX is an executable packer and compressor commonly used to reduce the size of binary programs.
  • D. LZA
    LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
  • 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. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCompression
Context triple: [GNU Tar, supportsCompression, gzip]
  • A. compressionType
    Indicates the method or format used to compress data or content in the relationship.
  • B. compressorType
    Indicates the specific kind or category of compressor associated with an entity.
  • C. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • D. supportsType
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • E. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • F. None of above.

Provenance (6 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdeea881481908d759c72798a50fb completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc6c6c620819098b76db174a6f98e completed March 10, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69afc72b2e3c8190aad78ac8924f07af completed March 10, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abdd025c948190a97dd961a9592bac completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.