Triple

T15263639
Position Surface form Disambiguated ID Type / Status
Subject Ethereum Virtual Machine E364845 entity
Predicate inputLanguage P18295 FINISHED
Object Solidity E364851 NE FINISHED

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: Solidity | Statement: [Ethereum Virtual Machine, inputLanguage, Solidity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solidity
Context triple: [Ethereum Virtual Machine, inputLanguage, Solidity]
  • A. Solidity chosen
    Solidity is a statically-typed, contract-oriented programming language primarily used to write and deploy smart contracts on the Ethereum platform and compatible blockchains.
  • B. Vyper
    Vyper is a Pythonic, security-focused programming language used to write smart contracts on the Ethereum blockchain.
  • C. Ethereum Virtual Machine
    The Ethereum Virtual Machine is a decentralized, sandboxed runtime that executes smart contracts and enforces the rules of the Ethereum blockchain across a global network of nodes.
  • D. ETH
    ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
  • E. ETH
    ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
  • 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: inputLanguage
Context triple: [Ethereum Virtual Machine, inputLanguage, Solidity]
  • A. navigationLanguage
    Indicates the language used for navigation-related content, such as menus, directions, or interface controls.
  • B. languageOfPrimaryOutput chosen
    Indicates the language in which the primary output or main result of an entity (such as a work, process, or system) is expressed.
  • C. targetLanguage
    Indicates the language that is the intended recipient or focus of a communication, translation, or linguistic operation.
  • D. testLanguage
    Indicates that an entity uses or is associated with a particular language for testing or evaluation purposes.
  • E. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
  • F. None of above.

Provenance (4 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084fed0481908e452c89cba2be82 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fdc21881909d87062db6fb8fb7 completed May 9, 2026, 7:45 a.m.
PD Predicate disambiguation batch_69deca8d1bd48190a4b94f29b425e335 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:14 a.m.