Triple

T17677809
Position Surface form Disambiguated ID Type / Status
Subject std::cmp E440682 entity
Predicate containsTrait P128540 FINISHED
Object Eq
Eq is a Rust standard library trait that defines equality comparison behavior for types, ensuring they support reflexive, symmetric, and transitive equality.
E1282538 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: Eq | Statement: [std::cmp, containsTrait, Eq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eq
Context triple: [std::cmp, containsTrait, Eq]
  • A. Equation
    Equation is the musical alias of Rheji Burrell, under which he produced influential house and electronic music.
  • B. EQ
    EQ is Mercedes-Benz’s dedicated sub-brand for electric vehicles and related technologies, representing the company’s push into premium, battery-powered mobility.
  • C. EQY
    EQY is the IATA airport code for Charlotte–Monroe Executive Airport, a public airport serving the Monroe and greater Charlotte area in North Carolina, United States.
  • D. JEQ
    JEQ is the National Rail station code for Jewellery Quarter railway station in Birmingham, England.
  • E. Equals
    Equals is a 2015 science-fiction romantic drama film set in a dystopian future where emotions are outlawed, starring Nicholas Hoult and Kristen Stewart.
  • 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: Eq
Triple: [std::cmp, containsTrait, Eq]
Generated description
Eq is a Rust standard library trait that defines equality comparison behavior for types, ensuring they support reflexive, symmetric, and transitive equality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eq
Target entity description: Eq is a Rust standard library trait that defines equality comparison behavior for types, ensuring they support reflexive, symmetric, and transitive equality.
  • A. Equation
    Equation is the musical alias of Rheji Burrell, under which he produced influential house and electronic music.
  • B. EQ
    EQ is Mercedes-Benz’s dedicated sub-brand for electric vehicles and related technologies, representing the company’s push into premium, battery-powered mobility.
  • C. EQY
    EQY is the IATA airport code for Charlotte–Monroe Executive Airport, a public airport serving the Monroe and greater Charlotte area in North Carolina, United States.
  • D. JEQ
    JEQ is the National Rail station code for Jewellery Quarter railway station in Birmingham, England.
  • E. Equals
    Equals is a 2015 science-fiction romantic drama film set in a dystopian future where emotions are outlawed, starring Nicholas Hoult and Kristen Stewart.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6e959c819092d9d33e79bd51f7 completed April 19, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022325d6108190975082abcdb21ce1 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022759531c8190a77c5dc4e3ccaee6 completed May 11, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_6a0227ff79d881908ad190b2665bc63d completed May 11, 2026, 7:03 p.m.
Created at: April 10, 2026, 10:01 a.m.