Triple

T2792638
Position Surface form Disambiguated ID Type / Status
Subject GNU Tar E61962 entity
Predicate standardConformance P41831 FINISHED
Object 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.
E299201 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: POSIX tar | Statement: [GNU Tar, standardConformance, POSIX tar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: POSIX tar
Context triple: [GNU Tar, standardConformance, POSIX tar]
  • A. 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.
  • B. TAR
    TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
  • C. TAR
    TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
  • D. TAR
    TAR is a Mexican regional airline operating domestic passenger flights to various destinations across the country.
  • E. Engrampa archive manager
    Engrampa archive manager is the MATE desktop environment’s file archiving tool used to create, view, and extract compressed archives in various formats.
  • 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: POSIX tar
Triple: [GNU Tar, standardConformance, POSIX tar]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: POSIX tar
Target entity description: 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.
  • A. 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.
  • B. TAR
    TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
  • C. TAR
    TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
  • D. TAR
    TAR is a Mexican regional airline operating domestic passenger flights to various destinations across the country.
  • E. Engrampa archive manager
    Engrampa archive manager is the MATE desktop environment’s file archiving tool used to create, view, and extract compressed archives in various formats.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardConformance
Context triple: [GNU Tar, standardConformance, POSIX tar]
  • A. standardType
    Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
  • B. coreStandard
    Indicates that something conforms to, is defined by, or is governed by a central or foundational standard or specification.
  • C. standardBefore
    Indicates that one standard must be satisfied, applied, or occur earlier in sequence or priority than another standard.
  • D. standardMaintained
    Indicates that a specified standard is being upheld, preserved, or kept in compliance over time within the relevant context.
  • E. standardWithin chosen
    Indicates that one entity conforms to, or falls within the limits of, a specified standard defined by 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.