Triple

T18724910
Position Surface form Disambiguated ID Type / Status
Subject WARC E457874 entity
Predicate compressionSupport P67298 FINISHED
Object GZIP NE NERFINISHED

How this triple was built (3 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: [WARC, compressionSupport, GZIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GZIP
Context triple: [WARC, compressionSupport, GZIP]
  • A. gzip chosen
    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.
  • B. zlib
    zlib is a widely used software library that provides lossless data compression using the DEFLATE algorithm.
  • C. Brotli
    Brotli is a modern, general-purpose lossless compression algorithm developed by Google, known for achieving high compression ratios and efficient web content delivery.
  • D. Zip
    "Zip" is a witty, patter-style show tune from the Rodgers and Hart musical *Pal Joey*, known for its satirical take on intellectual pretension.
  • E. Zstandard
    Zstandard is a fast, modern lossless data compression algorithm developed by Facebook that offers high compression ratios with low CPU usage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compressionSupport
Context triple: [WARC, compressionSupport, GZIP]
  • A. compressionType
    Indicates the method or format used to compress data or content in the relationship.
  • B. compressionFunctionType
    Indicates the specific kind or category of compression function applied in a compression process or algorithm.
  • C. supportsCompressedFiles chosen
    Indicates that one entity is capable of handling, reading, or working with files that are stored in a compressed format.
  • D. compressionDomain
    Indicates a relationship where one entity serves as the domain or context within which another entity’s compression or compression-related process is defined or applied.
  • E. compressionLoss
    Indicates that some amount of information, quality, or fidelity is lost as a result of a compression process.
  • F. None of above.

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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d72d2c4819080b0d31860976b5e completed April 20, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69e48d03766c8190a43f7681842f4f8d completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:50 a.m.