Triple

T4443020
Position Surface form Disambiguated ID Type / Status
Subject chruby E96215 entity
Predicate canBeUsedWith P4791 FINISHED
Object Zsh
Zsh is an advanced Unix shell and command interpreter known for its powerful scripting features, customization options, and interactive conveniences beyond those of traditional shells like Bash.
 E440644 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: Zsh | Statement: [chruby, canBeUsedWith, Zsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zsh
Context triple: [chruby, canBeUsedWith, Zsh]
  • A. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • B. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • C. ZTH
    ZTH is the IATA airport code for Zakynthos International Airport, the main air gateway to the Greek island of Zakynthos.
  • D. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • E. Zig
    Zig is a distinctive line of athletic footwear from Reebok known for its zigzag-shaped sole designed to enhance cushioning and energy return.
  • 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: Zsh
Triple: [chruby, canBeUsedWith, Zsh]
Generated description
Zsh is an advanced Unix shell and command interpreter known for its powerful scripting features, customization options, and interactive conveniences beyond those of traditional shells like Bash.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zsh
Target entity description: Zsh is an advanced Unix shell and command interpreter known for its powerful scripting features, customization options, and interactive conveniences beyond those of traditional shells like Bash.
  • A. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • B. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • C. ZTH
    ZTH is the IATA airport code for Zakynthos International Airport, the main air gateway to the Greek island of Zakynthos.
  • D. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • E. Zig
    Zig is a distinctive line of athletic footwear from Reebok known for its zigzag-shaped sole designed to enhance cushioning and energy return.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355aef21c819088f168a23f1933a6 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61382d00481908b7c84f337b5cad7 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b6177d1a588190991fddf506239d22 completed March 15, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b61b6bc1448190b30d444a821bb1a5 completed March 15, 2026, 2:37 a.m.
Created at: March 12, 2026, 11:32 p.m.