Triple

T12516431
Position Surface form Disambiguated ID Type / Status
Subject POSIX tar E299201 entity
Predicate alsoKnownAs P39 FINISHED
Object ustar
ustar is the standardized POSIX variant of the tar archive format, designed to ensure consistent file archiving and portability across Unix-like systems.
 E986438 NE FINISHED

How this triple was built (4 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: ustar | Statement: [POSIX tar, alsoKnownAs, ustar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ustar
Context triple: [POSIX tar, alsoKnownAs, ustar]
  • A. tar
    The tar is a long-necked, waisted lute central to Persian classical music, known for its rich, resonant tone and intricate melodic capabilities.
  • 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 the standard abbreviation for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • E. TAR
    TAR is the ICAO airline designator assigned to Tarco Aviation, a Sudanese carrier operating passenger and cargo flights.
  • 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: ustar
Triple: [POSIX tar, alsoKnownAs, ustar]
Generated description
ustar is the standardized POSIX variant of the tar archive format, designed to ensure consistent file archiving and portability across Unix-like systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ustar
Target entity description: ustar is the standardized POSIX variant of the tar archive format, designed to ensure consistent file archiving and portability across Unix-like systems.
  • A. tar
    The tar is a long-necked, waisted lute central to Persian classical music, known for its rich, resonant tone and intricate melodic capabilities.
  • 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 the standard abbreviation for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • E. TAR
    TAR is the ICAO airline designator assigned to Tarco Aviation, a Sudanese carrier operating passenger and cargo flights.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69f64ce257348190b01179773992d414 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64db823bc819098152a96db960b10 completed May 2, 2026, 7:17 p.m.
Created at: April 8, 2026, 9:57 p.m.